Update kinfit and mkin to the latest version published on BerliOS.

git-svn-id: svn+ssh://svn.r-forge.r-project.org/svnroot/kinfit/pkg/mkin@17 edb9625f-4e0d-4859-8d74-9fd3b1da38cb

41 files changed, 25196 insertions, 172 deletions

diff --git a/DESCRIPTION b/DESCRIPTION
index 7eabdf2c..a2c760cb 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -2,18 +2,19 @@ Package: mkin
 Type: Package
 Title: Routines for fitting kinetic models with one or more state
   variables to chemical degradation data
-Version: 0.7-6
-Date: 2010-06-09
-Author: Johannes Ranke
-Maintainer: Johannes Ranke <jranke@harlan.com>
-Description: Calculation routines based on the FOCUS Kinetics Report (2006). Includes 
-  a function for conveniently defining differential equation models, choice of
-  the optimisation methods made available by the FME package (default is a
-  Levenberg-Marquardt variant).
-Depends: FME
+Version: 0.8-11
+Date: 2011-05-19
+Author: Johannes Ranke, Katrin Lindenberger
+Maintainer: Johannes Ranke <jranke@users.berlios.de>
+Description: Calculation routines based on the FOCUS Kinetics Report (2006).
+  Includes a function for conveniently defining differential equation models,
+  model solution based on eigenvalues if possible or using numerical solvers
+  and a choice of the optimisation methods made available by the FME package
+  (default is a Levenberg-Marquardt variant).  Please note that no warranty is
+  implied for correctness of results or fitness for a particular purpose.
+Depends: FME, deSolve, kinfit
+Suggests: RUnit
 License: GPL
 LazyLoad: yes
 LazyData: yes
-Packaged: 2010-05-18 12:52:36 UTC; ranke
-Repository: CRAN
-Date/Publication: 2010-05-18 13:18:05
+URL: http://cran.r-project.org, http://developer.berlios.de/projects/mkin/
diff --git a/R/DFOP.solution.R b/R/DFOP.solution.R
new file mode 100644
index 00000000..8531cfed
--- /dev/null
+++ b/R/DFOP.solution.R
@@ -0,0 +1,5 @@
+DFOP.solution <- function(t, parent.0, k1, k2, g)

+{

+	parent = g * parent.0 * exp(-k1 * t) +

+		 (1 - g) * parent.0 * exp(-k2 * t)

+}

diff --git a/R/FOMC.solution.R b/R/FOMC.solution.R
new file mode 100644
index 00000000..8bd13d6b
--- /dev/null
+++ b/R/FOMC.solution.R
@@ -0,0 +1,4 @@
+FOMC.solution <- function(t, parent.0, alpha, beta)

+{

+	parent = parent.0 / (t/beta + 1)^alpha

+}

diff --git a/R/HS.solution.R b/R/HS.solution.R
new file mode 100644
index 00000000..4651a6a8
--- /dev/null
+++ b/R/HS.solution.R
@@ -0,0 +1,6 @@
+HS.solution <- function(t, parent.0, k1, k2, tb)

+{

+	parent = ifelse(t <= tb, 

+		parent.0 * exp(-k1 * t),

+		parent.0 * exp(-k1 * tb) * exp(-k2 * (t - tb)))

+}

diff --git a/R/SFO.solution.R b/R/SFO.solution.R
new file mode 100644
index 00000000..3a376e48
--- /dev/null
+++ b/R/SFO.solution.R
@@ -0,0 +1,4 @@
+SFO.solution <- function(t, parent.0, k)

+{

+	parent = parent.0 * exp(-k * t)

+}

diff --git a/R/SFORB.solution.R b/R/SFORB.solution.R
new file mode 100644
index 00000000..45a4533a
--- /dev/null
+++ b/R/SFORB.solution.R
@@ -0,0 +1,9 @@
+SFORB.solution = function(t, parent.0, k_12, k_21, k_1output) {

+  sqrt_exp = sqrt(1/4 * (k_12 + k_21 + k_1output)^2 + k_12 * k_21 - (k_12 + k_1output) * k_21)

+  b1 = 0.5 * (k_12 + k_21 + k_1output) + sqrt_exp

+  b2 = 0.5 * (k_12 + k_21 + k_1output) - sqrt_exp

+  

+  parent = parent.0 * 

+        (((k_12 + k_21 - b1)/(b2 - b1)) * exp(-b1 * t) +

+        ((k_12 + k_21 - b2)/(b1 - b2)) * exp(-b2 * t))

+}

diff --git a/R/mkin_long_to_wide.R b/R/mkin_long_to_wide.R
index 45ee0a10..ca09b495 100644
--- a/R/mkin_long_to_wide.R
+++ b/R/mkin_long_to_wide.R
@@ -1,7 +1,28 @@
-mkin_long_to_wide <- function(long_data, time = "time")

+# $Id: mkin_long_to_wide.R 96 2011-04-29 11:10:40Z jranke $

+

+# Copyright (C) 2010-2011 Johannes Ranke

+# Contact: mkin-devel@lists.berlios.de

+

+# This file is part of the R package mkin

+

+# mkin is free software: you can redistribute it and/or modify it under the

+# terms of the GNU General Public License as published by the Free Software

+# Foundation, either version 3 of the License, or (at your option) any later

+# version.

+

+# This program is distributed in the hope that it will be useful, but WITHOUT

+# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS

+# FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more

+# details.

+

+# You should have received a copy of the GNU General Public License along with

+# this program. If not, see <http://www.gnu.org/licenses/>

+

+mkin_long_to_wide <- function(long_data, time = "time", outtime = "time")

 {

   colnames <- unique(long_data$name)

   wide_data <- data.frame(time = subset(long_data, name == colnames[1], time))

+  names(wide_data) <- outtime

   for (var in colnames) {

     wide_data[var] <- subset(long_data, name == var, value)

   }

diff --git a/R/mkin_wide_to_long.R b/R/mkin_wide_to_long.R
index 21ab77b9..995a9be5 100644
--- a/R/mkin_wide_to_long.R
+++ b/R/mkin_wide_to_long.R
@@ -1,3 +1,23 @@
+# $Id: mkin_wide_to_long.R 59 2010-07-28 12:29:15Z jranke $

+

+# Copyright (C) 2010 Johannes Ranke

+# Contact: mkin-devel@lists.berlios.de

+

+# This file is part of the R package mkin

+

+# mkin is free software: you can redistribute it and/or modify it under the

+# terms of the GNU General Public License as published by the Free Software

+# Foundation, either version 3 of the License, or (at your option) any later

+# version.

+

+# This program is distributed in the hope that it will be useful, but WITHOUT

+# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS

+# FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more

+# details.

+

+# You should have received a copy of the GNU General Public License along with

+# this program. If not, see <http://www.gnu.org/licenses/>

+

 mkin_wide_to_long <- function(wide_data, time = "t")

 {

   colnames <- names(wide_data)

diff --git a/R/mkinerrmin.R b/R/mkinerrmin.R
index 7a922eb4..ebed191a 100644
--- a/R/mkinerrmin.R
+++ b/R/mkinerrmin.R
@@ -1,3 +1,23 @@
+# $Id: mkinerrmin.R 59 2010-07-28 12:29:15Z jranke $

+

+# Copyright (C) 2010 Johannes Ranke

+# Contact: mkin-devel@lists.berlios.de

+

+# This file is part of the R package mkin

+

+# mkin is free software: you can redistribute it and/or modify it under the

+# terms of the GNU General Public License as published by the Free Software

+# Foundation, either version 3 of the License, or (at your option) any later

+# version.

+

+# This program is distributed in the hope that it will be useful, but WITHOUT

+# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS

+# FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more

+# details.

+

+# You should have received a copy of the GNU General Public License along with

+# this program. If not, see <http://www.gnu.org/licenses/>

+

 mkinerrmin <- function(errdata, n.parms, alpha = 0.05)

 {

   means.mean <- mean(errdata$value_mean, na.rm=TRUE)

diff --git a/R/mkinfit.R b/R/mkinfit.R
index f8285fcd..b7427421 100644
--- a/R/mkinfit.R
+++ b/R/mkinfit.R
@@ -1,11 +1,36 @@
+# $Id: mkinfit.R 120 2011-09-02 14:25:35Z jranke $

+

+# Copyright (C) 2010-2011 Johannes Ranke

+# Contact: mkin-devel@lists.berlios.de

+# The summary function is an adapted and extended version of summary.modFit

+# from the FME package, v 1.1 by Soetart and Petzoldt, which was in turn

+# inspired by summary.nls.lm

+

+# This file is part of the R package mkin

+

+# mkin is free software: you can redistribute it and/or modify it under the

+# terms of the GNU General Public License as published by the Free Software

+# Foundation, either version 3 of the License, or (at your option) any later

+# version.

+

+# This program is distributed in the hope that it will be useful, but WITHOUT

+# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS

+# FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more

+# details.

+

+# You should have received a copy of the GNU General Public License along with

+# this program. If not, see <http://www.gnu.org/licenses/>

+

 mkinfit <- function(mkinmod, observed,

   parms.ini = rep(0.1, length(mkinmod$parms)),

   state.ini = c(100, rep(0, length(mkinmod$diffs) - 1)), 

   lower = 0, upper = Inf,

   fixed_parms = NULL,

   fixed_initials = names(mkinmod$diffs)[-1],

+  eigen = FALSE,

   plot = FALSE, quiet = FALSE,

   err = NULL, weight = "none", scaleVar = FALSE,

+  atol = 1e-6,

   ...)

 {

   mod_vars <- names(mkinmod$diffs)

@@ -16,18 +41,6 @@ mkinfit <- function(mkinmod, observed,
 

   # Name the parameters if they are not named yet

   if(is.null(names(parms.ini))) names(parms.ini) <- mkinmod$parms

-  # Create a function calculating the differentials specified by the model

-  mkindiff <- function(t, state, parms) {

-    time <- t

-    diffs <- vector()

-    for (box in mod_vars)

-    {

-      diffname <- paste("d", box, sep="_")      

-      diffs[diffname] <- with(as.list(c(time,state, parms)),

-        eval(parse(text=mkinmod$diffs[[box]])))

-    }

-    return(list(c(diffs)))

-  } 

 

   # Name the inital parameter values if they are not named yet

   if(is.null(names(state.ini))) names(state.ini) <- mod_vars

@@ -45,6 +58,40 @@ mkinfit <- function(mkinmod, observed,
       names(state.ini.optim) <- paste(names(state.ini.optim), "0", sep="_")

   }

 

+  # Set upper limit for formation fractions to one if formation fractions are

+  # directly defined and if no user input for upper limit is given

+  if (all(upper==Inf) & any(grepl("f_", names(parms.ini)))==TRUE){

+    upper=c( rep(Inf,length(parms.optim)))

+    upper[grep("f_", names(parms.optim))]=1

+    upper=c(rep(Inf, length(state.ini.optim)), upper)

+  }

+

+  # Decide if the solution of the model can be based on a simple analytical

+  # formula, the spectral decomposition of the matrix (fundamental system)

+  # or a numeric ode solver from the deSolve package

+  if (length(mkinmod$map) == 1) {

+    solution = "analytical"

+  } else {

+    if (is.matrix(mkinmod$coefmat) & eigen) solution = "eigen"

+    else solution = "deSolve"

+  }

+

+  # Create a function calculating the differentials specified by the model

+  # if necessary

+  if(solution == "deSolve") {

+    mkindiff <- function(t, state, parms) {

+      time <- t

+      diffs <- vector()

+      for (box in mod_vars)

+      {

+        diffname <- paste("d", box, sep="_")      

+        diffs[diffname] <- with(as.list(c(time,state, parms)),

+          eval(parse(text=mkinmod$diffs[[box]])))

+      }

+      return(list(c(diffs)))

+    } 

+  }

+

   cost.old <- 1e100

   calls <- 0

   out_predicted <- NA

@@ -60,19 +107,67 @@ mkinfit <- function(mkinmod, observed,
     odeparms <- c(P[(length(state.ini.optim) + 1):length(P)], parms.fixed)

 

     outtimes = unique(observed$time)

+    evalparse <- function(string)

+    {

+      eval(parse(text=string), as.list(c(odeparms, odeini)))

+    }

 

-    # Solve the ode

-    out <- ode(

-      y = odeini,

-      times = outtimes,

-      func = mkindiff, 

-      parms = odeparms)

-

+    # Solve the system

+    if (solution == "analytical") {

+      parent.type = names(mkinmod$map[[1]])[1]  

+      parent.name = names(mkinmod$diffs)[[1]]

+      o <- switch(parent.type,

+        SFO = SFO.solution(outtimes, 

+            evalparse(parent.name),

+            evalparse(paste("k", parent.name, "sink", sep="_"))),

+        FOMC = FOMC.solution(outtimes,

+            evalparse(parent.name),

+            evalparse("alpha"), evalparse("beta")),

+        DFOP = DFOP.solution(outtimes,

+            evalparse(parent.name),

+            evalparse("k1"), evalparse("k2"),

+            evalparse("g")),

+        HS = HS.solution(outtimes,

+            evalparse(parent.name),

+            evalparse("k1"), evalparse("k2"),

+            evalparse("tb")),

+        SFORB = SFORB.solution(outtimes,

+            evalparse(parent.name),

+            evalparse(paste("k", parent.name, "bound", sep="_")),

+            evalparse(paste("k", sub("free", "bound", parent.name), "free", sep="_")),

+            evalparse(paste("k", parent.name, "sink", sep="_")))

+      )

+      out <- cbind(outtimes, o)

+      dimnames(out) <- list(outtimes, c("time", sub("_free", "", parent.name)))

+    }

+    if (solution == "eigen") {

+      coefmat.num <- matrix(sapply(as.vector(mkinmod$coefmat), evalparse), 

+        nrow = length(mod_vars))

+      e <- eigen(coefmat.num)

+      c <- solve(e$vectors, odeini)

+      f.out <- function(t) {

+        e$vectors %*% diag(exp(e$values * t), nrow=length(mod_vars)) %*% c

+      }

+      o <- matrix(mapply(f.out, outtimes), 

+        nrow = length(mod_vars), ncol = length(outtimes))

+      dimnames(o) <- list(mod_vars, outtimes)

+      out <- cbind(time = outtimes, t(o))

+    } 

+    if (solution == "deSolve")  

+    {

+      out <- ode(

+        y = odeini,

+        times = outtimes,

+        func = mkindiff, 

+        parms = odeparms,

+        atol = atol

+      )

+    }

   

     # Output transformation for models with unobserved compartments like SFORB

     out_transformed <- data.frame(time = out[,"time"])

     for (var in names(mkinmod$map)) {

-      if(length(mkinmod$map[[var]]) == 1) {

+      if((length(mkinmod$map[[var]]) == 1) || solution == "analytical") {

         out_transformed[var] <- out[, var]

       } else {

         out_transformed[var] <- rowSums(out[, mkinmod$map[[var]]])

@@ -90,19 +185,53 @@ mkinfit <- function(mkinmod, observed,
       # Plot the data and current model output if requested

       if(plot) {

         outtimes_plot = seq(min(observed$time), max(observed$time), length.out=100)

-        out_plot <- ode(

-          y = odeini,

-          times = outtimes_plot,

-          func = mkindiff, 

-          parms = odeparms)

+        if (solution == "analytical") {

+          o_plot <- switch(parent.type,

+            SFO = SFO.solution(outtimes_plot, 

+                evalparse(parent.name),

+                evalparse(paste("k", parent.name, "sink", sep="_"))),

+            FOMC = FOMC.solution(outtimes_plot,

+                evalparse(parent.name),

+                evalparse("alpha"), evalparse("beta")),

+            DFOP = DFOP.solution(outtimes_plot,

+                evalparse(parent.name),

+                evalparse("k1"), evalparse("k2"),

+                evalparse("g")),

+            HS = HS.solution(outtimes_plot,

+                evalparse(parent.name),

+                evalparse("k1"), evalparse("k2"),

+                evalparse("tb")),

+            SFORB = SFORB.solution(outtimes_plot,

+                evalparse(parent.name),

+                evalparse(paste("k", parent.name, "bound", sep="_")),

+                evalparse(paste("k", sub("free", "bound", parent.name), "free", sep="_")),

+                evalparse(paste("k", parent.name, "sink", sep="_")))

+          )

+          out_plot <- cbind(outtimes_plot, o_plot)

+          dimnames(out_plot) <- list(outtimes_plot, c("time", sub("_free", "", parent.name)))

+        }

+        if(solution == "eigen") {

+          o_plot <- matrix(mapply(f.out, outtimes_plot), 

+            nrow = length(mod_vars), ncol = length(outtimes_plot))

+          dimnames(o_plot) <- list(mod_vars, outtimes_plot)

+          out_plot <- cbind(time = outtimes_plot, t(o_plot))

+        } 

+        if (solution == "deSolve") {

+          out_plot <- ode(

+            y = odeini,

+            times = outtimes_plot,

+            func = mkindiff, 

+            parms = odeparms)

+        }

         out_transformed_plot <- data.frame(time = out_plot[,"time"])

-        for (var in names(mkinmod$map)) {

-          if(length(mkinmod$map[[var]]) == 1) {

+        for (var in obs_vars) {

+          if((length(mkinmod$map[[var]]) == 1) || solution == "analytical") {

             out_transformed_plot[var] <- out_plot[, var]

           } else {

             out_transformed_plot[var] <- rowSums(out_plot[, mkinmod$map[[var]]])

           }

         }    

+        out_transformed_plot <<- out_transformed_plot

 

         plot(0, type="n", 

           xlim = range(observed$time), ylim = range(observed$value, na.rm=TRUE),

@@ -124,8 +253,17 @@ mkinfit <- function(mkinmod, observed,
   }

   fit <- modFit(cost, c(state.ini.optim, parms.optim), lower = lower, upper = upper, ...)

 

-  # We need the function for plotting

-  fit$mkindiff <- mkindiff

+  # We need to return some more data for summary and plotting

+  fit$solution <- solution

+  if (solution == "eigen") {

+    fit$coefmat <- mkinmod$coefmat

+  } 

+  if (solution == "deSolve") {

+    fit$mkindiff <- mkindiff

+  }

+  if (plot == TRUE) {

+    fit$out_transformed_plot = out_transformed_plot

+  }

 

   # We also need various other information for summary and plotting

   fit$map <- mkinmod$map

@@ -161,54 +299,109 @@ mkinfit <- function(mkinmod, observed,
     n.optim <- n.k.optim + n.initials.optim

     if ("alpha" %in% names(parms.optim)) n.optim <- n.optim + 1

     if ("beta" %in% names(parms.optim)) n.optim <- n.optim + 1

+    if ("k1" %in% names(parms.optim)) n.optim <- n.optim + 1

+    if ("k2" %in% names(parms.optim)) n.optim <- n.optim + 1

+    if ("g" %in% names(parms.optim)) n.optim <- n.optim + 1

+    if ("tb" %in% names(parms.optim)) n.optim <- n.optim + 1

     errmin.tmp <- mkinerrmin(errdata.var, n.optim)

     errmin[obs_var, c("err.min", "n.optim", "df")] <- errmin.tmp

   }

   fit$errmin <- errmin

 

-  # Calculate dissipation times DT50 and DT90

+  # Calculate dissipation times DT50 and DT90 and formation fractions

   parms.all = c(fit$par, parms.fixed)

   fit$distimes <- data.frame(DT50 = rep(NA, length(obs_vars)), DT90 = rep(NA, length(obs_vars)), 

     row.names = obs_vars)

+  fit$ff <- vector()

+  fit$SFORB <- vector()

   for (obs_var in obs_vars) {

-      type = names(mkinmod$map[[obs_var]])[1]  

-      if (type == "SFO") {

-        k_names = grep(paste("k", obs_var, sep="_"), names(parms.all), value=TRUE)

-        k_tot = sum(parms.all[k_names])

-        DT50 = log(2)/k_tot

-        DT90 = log(10)/k_tot

+    type = names(mkinmod$map[[obs_var]])[1]  

+    if (type == "SFO") {

+      k_names = grep(paste("k", obs_var, sep="_"), names(parms.all), value=TRUE)

+      k_tot = sum(parms.all[k_names])

+      DT50 = log(2)/k_tot

+      DT90 = log(10)/k_tot

+      for (k_name in k_names)

+      {

+        fit$ff[[sub("k_", "", k_name)]] = parms.all[[k_name]] / k_tot

       }

-      if (type == "FOMC") {

-        alpha = parms.all["alpha"]

-        beta = parms.all["beta"]

-        DT50 = beta * (2^(1/alpha) - 1)

-        DT90 = beta * (10^(1/alpha) - 1)

+    }

+    if (type == "FOMC") {

+      alpha = parms.all["alpha"]

+      beta = parms.all["beta"]

+      DT50 = beta * (2^(1/alpha) - 1)

+      DT90 = beta * (10^(1/alpha) - 1)

+    }

+    if (type == "DFOP") {

+      k1 = parms.all["k1"]

+      k2 = parms.all["k2"]

+      g = parms.all["g"]

+      f <- function(t, x) {

+        fraction <- g * exp( - k1 * t) + (1 - g) * exp( - k2 * t)

+        (fraction - (1 - x/100))^2

       }

-      if (type == "SFORB") {

-        # FOCUS kinetics (2006), p. 60 f

-        k_out_names = grep(paste("k", obs_var, "free", sep="_"), names(parms.all), value=TRUE)

-        k_out_names = setdiff(k_out_names, paste("k", obs_var, "free", "bound", sep="_"))

-        k_1output = sum(parms.all[k_out_names])

-        k_12 = parms.all[paste("k", obs_var, "free", "bound", sep="_")]

-        k_21 = parms.all[paste("k", obs_var, "bound", "free", sep="_")]

-

-        sqrt_exp = sqrt(1/4 * (k_12 + k_21 + k_1output)^2 + k_12 * k_21 - (k_12 + k_1output) * k_21)

-        b1 = 0.5 * (k_12 + k_21 + k_1output) + sqrt_exp

-        b2 = 0.5 * (k_12 + k_21 + k_1output) - sqrt_exp

-

-        SFORB_fraction = function(t) {

-          ((k_12 + k_21 - b1)/(b2 - b1)) * exp(-b1 * t) +

-          ((k_12 + k_21 - b2)/(b1 - b2)) * exp(-b2 * t)

-        }

-        f_50 <- function(t) (SFORB_fraction(t) - 0.5)^2

-        max_DT <- 1000

-        DT50.o <- optimize(f_50, c(0.01, max_DT))$minimum

-        if (abs(DT50.o - max_DT) < 0.01) DT50 = NA else DT50 = DT50.o

-        f_90 <- function(t) (SFORB_fraction(t) - 0.1)^2

-        DT90.o <- optimize(f_90, c(0.01, 1000))$minimum

-        if (abs(DT90.o - max_DT) < 0.01) DT90 = NA else DT90 = DT90.o

+      DTmax <- 1000

+      DT50.o <- optimize(f, c(0.001, DTmax), x=50)$minimum

+      DT50 = ifelse(DTmax - DT50.o < 0.1, NA, DT50.o)

+      DT90.o <- optimize(f, c(0.001, DTmax), x=90)$minimum

+      DT90 = ifelse(DTmax - DT90.o < 0.1, NA, DT90.o)

+    }

+    if (type == "HS") {

+      k1 = parms.all["k1"]

+      k2 = parms.all["k2"]

+      tb = parms.all["tb"]

+      DTx <- function(x) {

+        DTx.a <- (log(100/(100 - x)))/k1

+        DTx.b <- tb + (log(100/(100 - x)) - k1 * tb)/k2

+        if (DTx.a < tb) DTx <- DTx.a

+        else DTx <- DTx.b

+        return(DTx)

       }

-      fit$distimes[obs_var, ] = c(DT50, DT90)

+      DT50 <- DTx(50)

+      DT90 <- DTx(90)

+    }

+    # Back-calculation of formation fractions in case of nonlinear parent kinetics

+    if (type %in% c("FOMC", "DFOP", "HS")) {

+      ff_names = names(mkinmod$ff)

+      for (ff_name in ff_names)

+      {

+        fit$ff[[paste(obs_var, ff_name, sep="_")]] = 

+          eval(parse(text = mkinmod$ff[ff_name]), as.list(parms.all))

+      }

+      fit$ff[[paste(obs_var, "sink", sep="_")]] = 1 - sum(fit$ff)

+    }

+    if (type == "SFORB") {

+      # FOCUS kinetics (2006), p. 60 f

+      k_out_names = grep(paste("k", obs_var, "free", sep="_"), names(parms.all), value=TRUE)

+      k_out_names = setdiff(k_out_names, paste("k", obs_var, "free", "bound", sep="_"))

+      k_1output = sum(parms.all[k_out_names])

+      k_12 = parms.all[paste("k", obs_var, "free", "bound", sep="_")]

+      k_21 = parms.all[paste("k", obs_var, "bound", "free", sep="_")]

+

+      sqrt_exp = sqrt(1/4 * (k_12 + k_21 + k_1output)^2 + k_12 * k_21 - (k_12 + k_1output) * k_21)

+      b1 = 0.5 * (k_12 + k_21 + k_1output) + sqrt_exp

+      b2 = 0.5 * (k_12 + k_21 + k_1output) - sqrt_exp

+

+      SFORB_fraction = function(t) {

+        ((k_12 + k_21 - b1)/(b2 - b1)) * exp(-b1 * t) +

+        ((k_12 + k_21 - b2)/(b1 - b2)) * exp(-b2 * t)

+      }

+      f_50 <- function(t) (SFORB_fraction(t) - 0.5)^2

+      max_DT <- 1000

+      DT50.o <- optimize(f_50, c(0.01, max_DT))$minimum

+      if (abs(DT50.o - max_DT) < 0.01) DT50 = NA else DT50 = DT50.o

+      f_90 <- function(t) (SFORB_fraction(t) - 0.1)^2

+      DT90.o <- optimize(f_90, c(0.01, max_DT))$minimum

+      if (abs(DT90.o - max_DT) < 0.01) DT90 = NA else DT90 = DT90.o

+      for (k_out_name in k_out_names)

+      {

+        fit$ff[[sub("k_", "", k_out_name)]] = parms.all[[k_out_name]] / k_1output

+      }

+      # Return the eigenvalues for comparison with DFOP rate constants

+      fit$SFORB[[paste(obs_var, "b1", sep="_")]] = b1

+      fit$SFORB[[paste(obs_var, "b2", sep="_")]] = b2

+    }

+    fit$distimes[obs_var, ] = c(DT50, DT90)

   }

 

   # Collect observed, predicted and residuals

@@ -217,25 +410,74 @@ mkinfit <- function(mkinmod, observed,
   data$residual <- data$observed - data$predicted

   data$variable <- ordered(data$variable, levels = obs_vars)

   fit$data <- data[order(data$variable, data$time), ]

+  fit$atol <- atol

 

   class(fit) <- c("mkinfit", "modFit") 

   return(fit)

 }

 

-summary.mkinfit <- function(object, data = TRUE, distimes = TRUE, cov = FALSE,...) {

-  ans <- FME:::summary.modFit(object, cov = cov)

+summary.mkinfit <- function(object, data = TRUE, distimes = TRUE, ff = TRUE, cov = FALSE,...) {

+  param  <- object$par

+  pnames <- names(param)

+  p      <- length(param)

+  covar  <- try(solve(0.5*object$hessian), silent = TRUE)   # unscaled covariance

+  if (!is.numeric(covar)) {

+    message <- "Cannot estimate covariance; system is singular"

+    warning(message)

+    covar <- matrix(data = NA, nrow = p, ncol = p)

+  } else message <- "ok"

+

+  rownames(covar) <- colnames(covar) <-pnames

+  rdf    <- object$df.residual

+  resvar <- object$ssr / rdf

+  se     <- sqrt(diag(covar) * resvar)

+  names(se) <- pnames

+  tval      <- param / se

+  modVariance <- object$ssr / length(object$residuals)

+

+  if (!all(object$start$lower >=0)) {

+    message <- "Note that the one-sided t-test may not be appropriate if

+      parameter values below zero are possible."

+    warning(message)

+  } else message <- "ok"

+

+  param <- cbind(param, se, tval, pt(tval, rdf, lower.tail = FALSE))

+  dimnames(param) <- list(pnames, c("Estimate", "Std. Error",

+                                    "t value", "Pr(>t)"))

+  if(cov)

+    ans <- list(residuals = object$residuals,

+                residualVariance = resvar,

+                sigma = sqrt(resvar),

+                modVariance = modVariance,

+                df = c(p, rdf), cov.unscaled = covar,

+                cov.scaled = covar * resvar,

+                info = object$info, niter = object$iterations,

+                stopmess = message,

+                par = param)

+  else

+    ans <- list(residuals = object$residuals,

+                residualVariance = resvar,

+                sigma = sqrt(resvar),

+                modVariance = modVariance,

+                df = c(p, rdf),

+                info = object$info, niter = object$iterations,

+                stopmess = message,

+                par = param)

+

   ans$diffs <- object$diffs

   if(data) ans$data <- object$data

   ans$start <- object$start

   ans$fixed <- object$fixed

   ans$errmin <- object$errmin 

   if(distimes) ans$distimes <- object$distimes

+  if(ff) ans$ff <- object$ff

+  if(length(object$SFORB) != 0) ans$SFORB <- object$SFORB

   class(ans) <- c("summary.mkinfit", "summary.modFit") 

   return(ans)  

 }

 

 # Expanded from print.summary.modFit

-print.summary.mkinfit <- function(x, digits = max(3, getOption("digits") - 3), ...) {

+print.summary.mkinfit <- function(x, digits = max(3, getOption("digits") - 3), tval = TRUE, ...) {

   cat("\nEquations:\n")

   print(noquote(as.character(x[["diffs"]])))

   df  <- x$df

@@ -249,7 +491,11 @@ print.summary.mkinfit <- function(x, digits = max(3, getOption("digits") - 3), .
   else print(x$fixed)

   

   cat("\nOptimised parameters:\n")

-  printCoefmat(x$par, digits = digits, ...)

+  if (tval) printCoefmat(x$par, digits = digits, ...)

+  else {

+    printCoefmat(x$par[,c(1,2,4)], cs.in = c(1,2), tst.ind = integer(0), 

+      P.values = TRUE, has.Pvalue = TRUE, digits = digits, ...)

+  }

 

   cat("\nResidual standard error:",

       format(signif(x$sigma, digits)), "on", rdf, "degrees of freedom\n")

@@ -260,10 +506,22 @@ print.summary.mkinfit <- function(x, digits = max(3, getOption("digits") - 3), .
 

   printdistimes <- !is.null(x$distimes)

   if(printdistimes){

-    cat("\nEstimated disappearance times\n")

+    cat("\nEstimated disappearance times:\n")

     print(x$distimes, digits=digits,...)

   }    

 

+  printff <- !is.null(x$ff)

+  if(printff){

+    cat("\nEstimated formation fractions:\n")

+    print(data.frame(ff = x$ff), digits=digits,...)

+  }    

+

+  printSFORB <- !is.null(x$SFORB)

+  if(printSFORB){

+    cat("\nEstimated Eigenvalues of SFORB model(s):\n")

+    print(x$SFORB, digits=digits,...)

+  }    

+

   printcor <- !is.null(x$cov.unscaled)

   if (printcor){

     Corr <- cov2cor(x$cov.unscaled)

diff --git a/R/mkinmod.R b/R/mkinmod.R
index 643e855e..31c778cb 100644
--- a/R/mkinmod.R
+++ b/R/mkinmod.R
@@ -1,3 +1,23 @@
+# $Id: mkinmod.R 71 2010-09-12 01:13:36Z jranke $

+

+# Copyright (C) 2010 Johannes Ranke

+# Contact: mkin-devel@lists.berlios.de

+

+# This file is part of the R package mkin

+

+# mkin is free software: you can redistribute it and/or modify it under the

+# terms of the GNU General Public License as published by the Free Software

+# Foundation, either version 3 of the License, or (at your option) any later

+# version.

+

+# This program is distributed in the hope that it will be useful, but WITHOUT

+# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS

+# FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more

+# details.

+

+# You should have received a copy of the GNU General Public License along with

+# this program. If not, see <http://www.gnu.org/licenses/>

+

 mkinmod <- function(...)

 {

   spec <- list(...)

@@ -5,22 +25,36 @@ mkinmod <- function(...)
 

   # The returned model will be a list of character vectors, containing

   # differential equations, parameter names and a mapping from model variables

-  # to observed variables

+  # to observed variables. If possible, a matrix representation of the 

+  # differential equations is included

   parms <- vector()

   diffs <- vector()

   map <- list()

+  if(spec[[1]]$type %in% c("FOMC", "DFOP", "HS")) {

+    mat = FALSE 

+    if(!is.null(spec[[1]]$to)) {

+      message <- paste("Only constant formation fractions over time are implemented.",

+        "Depending on the reason for the time dependence of degradation, this may be unrealistic",

+        sep="\n")

+      warning(message)

+    } else message <- "ok"

+  } else mat = TRUE

 

   # Establish list of differential equations

   for (varname in obs_vars)

   {

-    if(is.null(spec[[varname]]$type)) stop("Every argument to mkinmod must be a list containing a type component")

-    if(!spec[[varname]]$type %in% c("SFO", "FOMC", "SFORB")) stop("Available types are SFO, FOMC and SFORB only")

+    if(is.null(spec[[varname]]$type)) stop(

+      "Every argument to mkinmod must be a list containing a type component")

+    if(!spec[[varname]]$type %in% c("SFO", "FOMC", "DFOP", "HS", "SFORB")) stop(

+      "Available types are SFO, FOMC, DFOP, HS and SFORB only")

     new_parms <- vector()

 

     # New (sub)compartments (boxes) needed for the model type

     new_boxes <- switch(spec[[varname]]$type,

       SFO = varname,

       FOMC = varname,

+      DFOP = varname,

+      HS = varname,

       SFORB = paste(varname, c("free", "bound"), sep="_")

     )

     map[[varname]] <- new_boxes

@@ -29,25 +63,64 @@ mkinmod <- function(...)
     # Start a new differential equation for each new box

     new_diffs <- paste("d_", new_boxes, " =", sep="")

 

-    # Construct terms for transfer to sink and add if appropriate

+    # Turn on sink if not specified otherwise

     if(is.null(spec[[varname]]$sink)) spec[[varname]]$sink <- TRUE

+

+    # Construct and add FOMC term and add FOMC parameters if needed

+    if(spec[[varname]]$type == "FOMC") {

+      if(match(varname, obs_vars) != 1) {

+        stop("Type FOMC is only possible for the first compartment, which is assumed to be the source compartment")

+      }

+      if(spec[[varname]]$sink == FALSE) {

+        stop("Turning off the sink for the FOMC model is not implemented")

+      }

+      # From p. 53 of the FOCUS kinetics report

+      nonlinear_term <- paste("(alpha/beta) * ((time/beta) + 1)^-1 *", new_boxes[[1]])

+      new_diffs[[1]] <- paste(new_diffs[[1]], "-", nonlinear_term)

+      new_parms <- c("alpha", "beta")

+      ff <- vector()

+    } 

+

+    # Construct and add DFOP term and add DFOP parameters if needed

+    if(spec[[varname]]$type == "DFOP") {

+      if(match(varname, obs_vars) != 1) {

+        stop("Type DFOP is only possible for the first compartment, which is assumed to be the source compartment")

+      }

+      if(spec[[varname]]$sink == FALSE) {

+        stop("Turning off the sink for the DFOP model is not implemented")

+      }

+      # From p. 57 of the FOCUS kinetics report

+      nonlinear_term <- paste("((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time))) *", new_boxes[[1]])

+      new_diffs[[1]] <- paste(new_diffs[[1]], "-", nonlinear_term)

+      new_parms <- c("k1", "k2", "g")

+      ff <- vector()

+    } 

+

+    # Construct and add HS term and add HS parameters if needed

+    if(spec[[varname]]$type == "HS") {

+      if(match(varname, obs_vars) != 1) {

+        stop("Type HS is only possible for the first compartment, which is assumed to be the source compartment")

+      }

+      if(spec[[varname]]$sink == FALSE) {

+        stop("Turning off the sink for the HS model is not implemented")

+      }

+      # From p. 55 of the FOCUS kinetics report

+      nonlinear_term <- paste("ifelse(time <= tb, k1, k2)", "*", new_boxes[[1]])

+      new_diffs[[1]] <- paste(new_diffs[[1]], "-", nonlinear_term)

+      new_parms <- c("k1", "k2", "tb")

+      ff <- vector()

+    } 

+

+    # Construct terms for transfer to sink and add if appropriate

+

     if(spec[[varname]]$sink) {

-      # Add first-order sink term to first (or only) box for SFO and SFORB models

+      # Add first-order sink term to first (or only) box for SFO and SFORB

       if(spec[[varname]]$type %in% c("SFO", "SFORB")) {

         k_compound_sink <- paste("k", new_boxes[[1]], "sink", sep="_")

         sink_term <- paste("-", k_compound_sink, "*", new_boxes[[1]])

         new_diffs[[1]] <- paste(new_diffs[[1]], sink_term)

         new_parms <- k_compound_sink

       }

-      if(spec[[varname]]$type == "FOMC") {

-        if(match(varname, obs_vars) != 1) {

-          stop("Type FOMC is only allowed for the first compartment, which is assumed to be the source compartment")

-        }

-        # From p. 53 of the FOCUS kinetics report

-        fomc_term <- paste("(alpha/beta) * ((time/beta) + 1)^-1 *", new_boxes[[1]])

-        new_diffs[[1]] <- paste(new_diffs[[1]], "-", fomc_term)

-        new_parms <- c("alpha", "beta")

-      }

     }

    

     # Add reversible binding if appropriate

@@ -66,7 +139,6 @@ mkinmod <- function(...)
     names(new_diffs) <- new_boxes

     diffs <- c(diffs, new_diffs)

   }

-

   # Transfer between compartments

   for (varname in obs_vars) {

     to <- spec[[varname]]$to

@@ -74,6 +146,8 @@ mkinmod <- function(...)
       origin_box <- switch(spec[[varname]]$type,

         SFO = varname,

         FOMC = varname,

+        DFOP = varname,

+        HS = varname,

         SFORB = paste(varname, "free", sep="_"))

       fraction_left <- NULL

       for (target in to) {

@@ -82,27 +156,63 @@ mkinmod <- function(...)
           SFORB = paste(target, "free", sep="_"))

         if(spec[[varname]]$type %in% c("SFO", "SFORB")) {

           k_from_to <- paste("k", origin_box, target_box, sep="_")

-          diffs[[origin_box]] <- paste(diffs[[origin_box]], "-", k_from_to, "*", origin_box)

-          diffs[[target_box]] <- paste(diffs[[target_box]], "+", k_from_to, "*", origin_box)

+          diffs[[origin_box]] <- paste(diffs[[origin_box]], "-", 

+            k_from_to, "*", origin_box)

+          diffs[[target_box]] <- paste(diffs[[target_box]], "+", 

+            k_from_to, "*", origin_box)

           parms <- c(parms, k_from_to)

         }

-        if(spec[[varname]]$type == "FOMC") {

+        if(spec[[varname]]$type %in% c("FOMC", "DFOP", "HS")) {

           fraction_to_target = paste("f_to", target, sep="_")

-          fraction_not_to_target = paste("(1 - ", fraction_to_target, ")", sep="")

+          fraction_not_to_target = paste("(1 - ", fraction_to_target, ")", 

+            sep="")

           if(is.null(fraction_left)) {

             fraction_really_to_target = fraction_to_target

             fraction_left = fraction_not_to_target

           } else {

-            fraction_really_to_target = paste(fraction_left, " * ", fraction_to_target, sep="")

-            fraction_left = paste(fraction_left, " * ", fraction_not_to_target, sep="")

+            fraction_really_to_target = paste(fraction_left, " * ", 

+              fraction_to_target, sep="")

+            fraction_left = paste(fraction_left, " * ", 

+              fraction_not_to_target, sep="")

           }

-          diffs[[target_box]] <- paste(diffs[[target_box]], "+", fraction_really_to_target, "*", fomc_term)

+          ff[target_box] = fraction_really_to_target

+          diffs[[target_box]] <- paste(diffs[[target_box]], "+", 

+            ff[target_box], "*", nonlinear_term)

           parms <- c(parms, fraction_to_target)

         }

       }

     }

   }

   model <- list(diffs = diffs, parms = parms, map = map)

+

+  # Create coefficient matrix if appropriate

+  if (mat) {

+    boxes <- names(diffs)

+    n <- length(boxes)

+    m <- matrix(nrow=n, ncol=n, dimnames=list(boxes, boxes))

+    for (from in boxes) {

+      for (to in boxes) {

+        if (from == to) {

+          k.candidate = paste("k", from, c(boxes, "sink"), sep="_")

+          k.candidate = sub("free.*bound", "free_bound", k.candidate)

+          k.candidate = sub("bound.*free", "bound_free", k.candidate)

+          k.effective = intersect(model$parms, k.candidate)

+          m[from,to] = ifelse(length(k.effective) > 0,

+              paste("-", k.effective, collapse = " "), "0")

+        } else {

+          k.candidate = paste("k", from, to, sep="_")

+          k.candidate = sub("free.*bound", "free_bound", k.candidate)

+          k.candidate = sub("bound.*free", "bound_free", k.candidate)

+          k.effective = intersect(model$parms, k.candidate)

+          m[to, from] = ifelse(length(k.effective) > 0,

+              k.effective, "0")

+        }

+      }

+    }

+    model$coefmat <- m

+  }

+

+  if (exists("ff")) model$ff = ff

   class(model) <- "mkinmod"

   invisible(model)

 }

diff --git a/R/mkinplot.R b/R/mkinplot.R
index d2880c0e..d665bc23 100644
--- a/R/mkinplot.R
+++ b/R/mkinplot.R
@@ -1,5 +1,6 @@
-mkinplot <- function(fit, xlab = "Time", ylab = "Observed", xlim = range(fit$data$time), ylim = range(fit$data$observed, na.rm = TRUE), ...)
+mkinplot <- function(fit, xlab = "Time", ylab = "Observed", xlim = range(fit$data$time), ylim = range(fit$data$observed, na.rm = TRUE), legend = TRUE, ...)
 {
+  solution = fit$solution
   fixed <- fit$fixed$value
   names(fixed) <- rownames(fit$fixed)
   parms.all <- c(fit$par, fixed)
@@ -16,12 +17,60 @@ mkinplot <- function(fit, xlab = "Time", ylab = "Observed", xlim = range(fit$dat
     rownames(subset(fit$fixed, type == "deparm")))
   odeparms <- parms.all[odenames]
 
-  # Solve the ode
-  out <- ode(
-    y = odeini,
-    times = outtimes,
-    func = fit$mkindiff, 
-    parms = odeparms)
+  # Solve the system
+  evalparse <- function(string)
+  {
+    eval(parse(text=string), as.list(c(odeparms, odeini)))
+  }
+  if (solution == "analytical") {
+    parent.type = names(fit$map[[1]])[1]  
+    parent.name = names(fit$diffs)[[1]]
+    o <- switch(parent.type,
+      SFO = SFO.solution(outtimes, 
+          evalparse(parent.name),
+          evalparse(paste("k", parent.name, "sink", sep="_"))),
+      FOMC = FOMC.solution(outtimes,
+          evalparse(parent.name),
+          evalparse("alpha"), evalparse("beta")),
+      DFOP = DFOP.solution(outtimes,
+          evalparse(parent.name),
+          evalparse("k1"), evalparse("k2"),
+          evalparse("g")),
+      HS = HS.solution(outtimes,
+          evalparse(parent.name),
+          evalparse("k1"), evalparse("k2"),
+          evalparse("tb")),
+      SFORB = SFORB.solution(outtimes,
+          evalparse(parent.name),
+          evalparse(paste("k", parent.name, "free_bound", sep="_")),
+          evalparse(paste("k", parent.name, "bound_free", sep="_")),
+          evalparse(paste("k", parent.name, "free_sink", sep="_")))
+    )
+    out <- cbind(outtimes, o)
+    dimnames(out) <- list(outtimes, c("time", parent.name))
+  }
+  if (solution == "eigen") {
+    coefmat.num <- matrix(sapply(as.vector(fit$coefmat), evalparse), 
+      nrow = length(odeini))
+    e <- eigen(coefmat.num)
+    c <- solve(e$vectors, odeini)
+    f.out <- function(t) {
+      e$vectors %*% diag(exp(e$values * t), nrow=length(odeini)) %*% c
+    }
+    o <- matrix(mapply(f.out, outtimes), 
+      nrow = length(odeini), ncol = length(outtimes))
+    dimnames(o) <- list(names(odeini), NULL)
+    out <- cbind(time = outtimes, t(o))
+  } 
+  if (solution == "deSolve") {
+    out <- ode(
+      y = odeini,
+      times = outtimes,
+      func = fit$mkindiff, 
+      parms = odeparms,
+      atol = fit$atol
+    )
+  }
     
   # Output transformation for models with unobserved compartments like SFORB
   out_transformed <- data.frame(time = out[,"time"])
@@ -36,14 +85,16 @@ mkinplot <- function(fit, xlab = "Time", ylab = "Observed", xlim = range(fit$dat
   # Plot the data and model output
   plot(0, type="n", 
     xlim = xlim, ylim = ylim,
-      xlab = xlab, ylab = ylab, ...)
-    col_obs <- pch_obs <- 1:length(fit$map)
-    names(col_obs) <- names(pch_obs) <- names(fit$map)
-    for (obs_var in names(fit$map)) {
-      points(subset(fit$data, variable == obs_var, c(time, observed)), 
-        pch = pch_obs[obs_var], col = col_obs[obs_var])
-    }
-    matlines(out_transformed$time, out_transformed[-1])
-      legend("topright", inset=c(0.05, 0.05), legend=names(fit$map),
+    xlab = xlab, ylab = ylab, ...)
+  col_obs <- pch_obs <- 1:length(fit$map)
+  names(col_obs) <- names(pch_obs) <- names(fit$map)
+  for (obs_var in names(fit$map)) {
+    points(subset(fit$data, variable == obs_var, c(time, observed)), 
+    pch = pch_obs[obs_var], col = col_obs[obs_var])
+  }
+  matlines(out_transformed$time, out_transformed[-1])
+  if (legend == TRUE) {
+    legend("topright", inset=c(0.05, 0.05), legend=names(fit$map),
       col=col_obs, pch=pch_obs, lty=1:length(pch_obs))
+  }
 }
diff --git a/R/mkinresplot.R b/R/mkinresplot.R
new file mode 100644
index 00000000..bede5f78
--- /dev/null
+++ b/R/mkinresplot.R
@@ -0,0 +1,54 @@
+# $Id:  $

+

+# Copyright (C) 2008-2011 Katrin Lindenberger and Johannes Ranke

+# Contact: mkin-devel@lists.berlios.de

+

+# This file is part of the R package mkin

+

+# mkin is free software: you can redistribute it and/or modify it under the

+# terms of the GNU General Public License as published by the Free Software

+# Foundation, either version 3 of the License, or (at your option) any later

+# version.

+

+# This program is distributed in the hope that it will be useful, but WITHOUT

+# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS

+# FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more

+# details.

+

+# You should have received a copy of the GNU General Public License along with

+# this program. If not, see <http://www.gnu.org/licenses/>

+

+mkinresplot <- function (object, obs_vars = vector(), 

+  xlab = "Time [days]", ylab = "Residual [% of applied radioactivity]",

+	maxabs = "auto", legend= TRUE, lpos = "topright", ...) 

+{

+	obs_vars_all <- as.character(unique(object$data$variable))

+

+  if (length(obs_vars) > 0){

+      vars <- intersect(obs_vars_all, obs_vars)	

+  } else vars <- obs_vars_all

+

+  residuals <- subset(object$data, variable %in% vars, residual)

+

+  if (maxabs == "auto") maxabs = max(abs(residuals), na.rm = TRUE)

+

+	col_obs <- pch_obs <- 1:length(vars)

+ 	names(col_obs) <- names(pch_obs) <- vars

+

+  plot(0,  xlab = xlab, ylab = ylab, 

+       xlim = c(0, 1.1 * max(object$data$time)), 

+       ylim = c(-1.2 * maxabs, 1.2 * maxabs), ...)

+

+	for(var in vars){

+		residuals_plot <- subset(object$data, variable == var, c("time", "residual"))

+		points(residuals_plot, pch = pch_obs[var], col = col_obs[var])

+	}

+

+  abline(h = 0, lty = 2)

+  title(paste("Residuals of mkin fit"), font.main = 1)

+

+ 	if (legend == TRUE) {

+    legend(lpos, inset = c(0.05, 0.05), legend = vars, 

+    col = col_obs, pch = pch_obs)

+  }

+}

diff --git a/R/mkinstart.R b/R/mkinstart.R
new file mode 100644
index 00000000..46e5bed7
--- /dev/null
+++ b/R/mkinstart.R
@@ -0,0 +1,23 @@
+mkinstart <- function(model, data, mode = "auto")

+{

+  if (class(model) != "mkinmod") stop("The first argument must be a model of class mkinmod")

+  names <- model$parms

+  observed <- names(model$map)

+  if(!all(observed %in% levels(data$name))) stop("The data must contain the observed variables used in the model")

+  for (obs in observed)

+  {

+    tmp <- subset(data, name == obs)

+    max <- tmp[which.max(tmp$value), ]

+    type = names(model$map[[obs]])[[1]]

+    kinmodel <- ifelse(type == "SFORB", "DFOP", type)

+    tmp.longdata <- subset(data, name == obs & time >= max$time)

+    tmp.widedata <- mkin_long_to_wide(tmp.longdata, outtime = "t")

+    names(tmp.widedata) <- c("t", "parent")

+    tmp.fit <- kinfit(

+      kindata = tmp.widedata,

+      kinmodels = kinmodel,

+      parent.0.user = max$value)

+    if(class(tmp.fit[[kinmodel]]) == "try-error") stop(paste("Automatic generation of starting parameters failed\nkinfit failed to find a", kinmodel, "fit for", obs))

+    tmp.results <- kinresults(tmp.fit)

+  }

+}

diff --git a/inst/GUI/.RData b/inst/GUI/.RData
new file mode 100644
index 00000000..2e82ef7b
--- /dev/null
+++ b/inst/GUI/.RData
diff --git a/inst/GUI/.Rhistory b/inst/GUI/.Rhistory
new file mode 100644
index 00000000..0704745c
--- /dev/null
+++ b/inst/GUI/.Rhistory
@@ -0,0 +1,3 @@
+require(gWidgetsWWW)
+localServerStart("simple.R")
+quit("yes")
diff --git a/inst/GUI/gdf-test.R b/inst/GUI/gdf-test.R
new file mode 100644
index 00000000..b1ec20ae
--- /dev/null
+++ b/inst/GUI/gdf-test.R
@@ -0,0 +1,12 @@
+w <- gwindow("gdf test")

+g <- ggroup(horizontal=FALSE, cont=w)

+d <- gdf(data.frame(a=c(1.1, 2.2, 3.3), b= c("one", "two", "three"), stringsAsFactors=FALSE), 

+  name = "Test for editing character columns", cont=g)

+size(d) <- c(400,400)

+gbutton("Change [1,2]", handler=function(h,...) {

+  d[1,2] <- "test"

+}, container=g)

+gbutton("Value of [1,2]", handler=function(h,...) {

+  galert(d[1,2], parent=d)

+}, cont=g)

+visible(w) <- TRUE

diff --git a/inst/GUI/simple-Gtk.R b/inst/GUI/simple-Gtk.R
new file mode 100644
index 00000000..8affdccc
--- /dev/null
+++ b/inst/GUI/simple-Gtk.R
@@ -0,0 +1,33 @@
+# Work in progress - simple Gtk2 GUI for mkin

+require(gWidgets)

+options("guiToolkit"="RGtk2")

+

+w <- gwindow("Simple R GUI for kinetic evaluations",

+  width=800, height=500)

+

+# Project definition expanding group

+pr <- gexpandgroup("Project definition", container=w)

+

+n.observed <- 1

+max.n.observed <- 9

+observed.names = c("parent", paste("M", 1:(max.n.observed - 1), sep=""))

+

+prg <- ggroup(horizontal=FALSE, cont = w)

+prl <- glayout(cont = prg)

+prl[1,1] <- glabel("Number of observed variables", cont=prl)

+prl[1,2] <- (n.observed.gw = gcombobox(

+  1:max.n.observed, 

+  handler = function(h, ...) {

+    n.observed <- svalue(n.observed.gw)

+    visible(observed.gw) <- c(

+      rep(TRUE, svalue(n.observed)), 

+      rep(FALSE, max.n.observed - n.observed))

+  },

+  cont=prl))

+

+observed.gw <- gdf(

+  items = data.frame(Index = 1:max.n.observed, 

+    Name = observed.names, stringsAsFactors=FALSE),

+  name = "Names of observed variables",

+  cont=prg)

+

diff --git a/inst/GUI/simple.R b/inst/GUI/simple.R
new file mode 100644
index 00000000..c1874145
--- /dev/null
+++ b/inst/GUI/simple.R
@@ -0,0 +1,68 @@
+# Work in progress - simple GUI for mkin

+w <- gwindow('Simple R GUI for kinetic evaluations', visible=FALSE) 

+# Project definition {{{

+pr <- gexpandgroup("Project", cont=w)

+

+n.observed <- 1

+max.n.observed <- 9

+observed.names = c("parent", paste("M", 1:(max.n.observed - 1), sep=""))

+

+prg <- ggroup(horizontal=FALSE, cont = pr)

+prl <- glayout(cont = prg)

+prl[1,1] <- glabel("Number of observed variables", cont=prl)

+prl[1,2] <- (n.observed.gw = gcombobox(

+  1:max.n.observed, 

+  handler = function(h, ...) {

+    n.observed <<- svalue(n.observed.gw)

+    filter.expression <- paste("^[1-", n.observed, "]$", sep="")

+    observed.gw$filter("Index", filter.expression)

+  },

+  cont=prl))

+

+observed.gw <- gdf(

+  items = data.frame(Index = 1:max.n.observed, 

+    Name = observed.names, stringsAsFactors=FALSE),

+  name = "Names of observed variables",

+  width = 500, height=250, cont=prg)

+

+addSpace(prg, 15)

+prf <- gfile("Project file in binary R format (preferably use .RData as extension)", 

+  container = prg)

+addSpring(prg)

+addSpace(prg, 15)

+pr.ok <- gbutton("save", 

+  handler=function(h,...) {

+      galert(svalue(prf), parent=w)

+    }, container=prg)

+

+gbutton("ok", handler = function(h, ...) {

+  observed <- observed.gw[1:n.observed,2]

+  save(observed, file="observed.RData")

+  visible(pr) <- FALSE

+  },

+  cont=prg

+)

+

+visible(pr) <- TRUE

+# }}}

+

+# Dataset definition

+ds <- gexpandgroup("Datasets", cont=w)

+s <- gdf(data.frame( Author = c("Meier"), Year = "3", Title = "4"),

+  name = "Studies",

+cont=ds)

+

+size(s) <- c(800,200)

+visible(ds) <- TRUE

+

+# Model definition

+ms <- gexpandgroup("Models", cont=w)

+visible(ms) <- FALSE

+

+# Evaluation window

+mw <- gframe("Evaluations", cont=w)

+

+# Status bar

+gstatusbar("Powered by gWidgetsWWW", cont = w)

+visible(w) <- TRUE 

+# vim: set foldmethod=marker:

diff --git a/inst/GUI/test.R b/inst/GUI/test.R
new file mode 100644
index 00000000..e33e0774
--- /dev/null
+++ b/inst/GUI/test.R
@@ -0,0 +1,17 @@
+require(gWidgetsWWW)

+localServerStart("simple.R")

+

+localServerStart("gdf-test.R")

+localServerStart("gdf-test-john.R")

+

+localServerStart("Examples/ex-actions.R", package="gWidgetsWWW")

+localServerStart("Examples/ex-add-widget-dynamically.R", package="gWidgetsWWW")

+localServerStart("Examples/ex-clt.R", package="gWidgetsWWW")

+localServerStart("Examples/ex-form.R", package="gWidgetsWWW")

+localServerStart("Examples/ex-gcombobox.R", package="gWidgetsWWW")

+localServerStart("Examples/ex-gtable.R", package="gWidgetsWWW")

+localServerStart("Examples/ex-index.R", package="gWidgetsWWW")

+localServerStart("Examples/ex-layouts.R", package="gWidgetsWWW")

+localServerStart("Examples/ex-simple-gui.R", package="gWidgetsWWW")

+localServerStart("Examples/ex-widgets.R", package="gWidgetsWWW")

+localServerStart("Examples/ex-windows.R", package="gWidgetsWWW")

diff --git a/inst/doc/Rplots.pdf b/inst/doc/Rplots.pdf
new file mode 100644
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diff --git a/inst/doc/mkin.Rnw b/inst/doc/mkin.Rnw
index 78b59e67..2f71151a 100644
--- a/inst/doc/mkin.Rnw
+++ b/inst/doc/mkin.Rnw
@@ -1,3 +1,4 @@
+% $Id: mkin.Rnw 66 2010-09-03 08:50:26Z jranke $

 %%\VignetteIndexEntry{Routines for fitting kinetic models with one or more state variables to chemical degradation data}

 %%VignetteDepends{FME}

 %%\usepackage{Sweave}

@@ -78,7 +79,7 @@ barrier for \RR{} newcomers.
 \subsection{Data format}

 

 The following listing shows example dataset C from the FOCUS kinetics

-report as distributed with the \Rpackage{kinfit} package

+report as distributed with the \Rpackage{mkin} package

 

 <<FOCUS_2006_C_data, echo=TRUE, eval=TRUE>>=

 library("mkin")

@@ -101,8 +102,9 @@ as shown in the following listing
 

 <<data_format, echo=TRUE>>=

 example_data <- data.frame(

+  name = rep("parent", 9),

   time = c(0, 1, 3, 7, 14, 28, 63, 91, 119),

-  parent = c(85.1, 57.9, 29.9, 14.6, 9.7, 6.6, 4, 3.9, 0.6)

+  value = c(85.1, 57.9, 29.9, 14.6, 9.7, 6.6, 4, 3.9, 0.6)

 )

 @

 

@@ -122,12 +124,23 @@ SFORB_SFO <- mkinmod(
   m1 = list(type = "SFO"))

 @

 

+The model definitions given above define sets of linear first-order ordinary

+differential equations. In these cases, a coefficient matrix is also returned.

+

+Other models that include time on the right-hand side of the differential 

+equation are the first-order multi-compartment (FOMC) model and the

+Hockey-Stick (HS) model. At present, only the FOMC model can only be used, and

+only for the parent compound.

+

 \subsection{Fitting the model}

 

 Then the model parameters should be fitted to the data. The function

 \Robject{mkinfit} internally creates a cost function using \Robject{modCost}

 from the \Rpackage{FME} package and the produces a fit using \Robject{modFit}

-from the same package.

+from the same package. In cases of linear first-order differential 

+equations, the solution used for calculating the cost function is based

+on the fundamental system of the coefficient matrix, as proposed by 

+\citet{bates88}.

 

 <<model_fitting, echo=TRUE>>=

 # Do not show significance stars as they interfere with vignette generation

@@ -136,8 +149,10 @@ SFO.fit <- mkinfit(SFO, FOCUS_2006_C)
 summary(SFO.fit)

 SFORB.fit <- mkinfit(SFORB, FOCUS_2006_C)

 summary(SFORB.fit)

-SFO_SFO.fit <- mkinfit(SFO_SFO, FOCUS_2006_D)

-summary(SFO_SFO.fit)

+SFO_SFO.fit <- mkinfit(SFO_SFO, FOCUS_2006_D, plot=TRUE)

+summary(SFO_SFO.fit, data=FALSE)

+SFORB_SFO.fit <- mkinfit(SFORB_SFO, FOCUS_2006_D, plot=TRUE)

+summary(SFORB_SFO.fit, data=FALSE)

 @

 

 \bibliographystyle{plainnat}

diff --git a/inst/doc/mkin.pdf b/inst/doc/mkin.pdf
index 4d2e1d10..f963d1e6 100644
--- a/inst/doc/mkin.pdf
+++ b/inst/doc/mkin.pdf
diff --git a/inst/doc/references.bib b/inst/doc/references.bib
index b158eebf..24672e2e 100644
--- a/inst/doc/references.bib
+++ b/inst/doc/references.bib
@@ -53,3 +53,10 @@
   address       = {Piacenza},

   pages         = {916--923}

 }

+

+@Book{            bates88,

+  title         = {Nonlinear regression and its applications},

+  author        = {D. Bates and D. Watts},

+  year          = {1988},

+  publisher     = {Wiley-Interscience}

+}

diff --git a/inst/unitTests/runit.mkinfit.R b/inst/unitTests/runit.mkinfit.R
index df09cc64..831c0698 100644
--- a/inst/unitTests/runit.mkinfit.R
+++ b/inst/unitTests/runit.mkinfit.R
@@ -1,3 +1,23 @@
+# $Id: runit.mkinfit.R 68 2010-09-09 22:40:04Z jranke $

+

+# Copyright (C) 2010 Johannes Ranke

+# Contact: mkin-devel@lists.berlios.de

+

+# This file is part of the R package mkin

+

+# mkin is free software: you can redistribute it and/or modify it under the

+# terms of the GNU General Public License as published by the Free Software

+# Foundation, either version 3 of the License, or (at your option) any later

+# version.

+

+# This program is distributed in the hope that it will be useful, but WITHOUT

+# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS

+# FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more

+# details.

+

+# You should have received a copy of the GNU General Public License along with

+# this program. If not, see <http://www.gnu.org/licenses/>

+

 test.mkinmod.schaefer07_complex_example <- function()

 {

   schaefer07_complex_model <- mkinmod(

@@ -17,16 +37,16 @@ test.mkinmod.schaefer07_complex_example <- function()
   r$mkin <- c(

     k_parent,

     s$distimes["parent", "DT50"],

-    k_parent_A1/k_parent,

+    s$ff["parent_A1"],

     sum(k_A1_sink, k_A1_A2),

     s$distimes["A1", "DT50"],

-    k_parent_B1/k_parent,

+    s$ff["parent_B1"],

     k_B1_sink,

     s$distimes["B1", "DT50"],

-    k_parent_C1/k_parent,

+    s$ff["parent_C1"],

     k_C1_sink,

     s$distimes["C1", "DT50"],

-    k_A1_A2/(k_A1_A2 + k_A1_sink),

+    s$ff["A1_A2"],

     k_A2_sink,

     s$distimes["A2", "DT50"])

   r$means <- (r$KinGUI + r$ModelMaker)/2

diff --git a/inst/unitTests/runit.mkinmod.R b/inst/unitTests/runit.mkinmod.R
index 44d9ffb5..a0e89968 100644
--- a/inst/unitTests/runit.mkinmod.R
+++ b/inst/unitTests/runit.mkinmod.R
@@ -1,3 +1,23 @@
+# $Id: runit.mkinmod.R 64 2010-09-01 13:33:51Z jranke $

+

+# Copyright (C) 2010 Johannes Ranke

+# Contact: mkin-devel@lists.berlios.de

+

+# This file is part of the R package mkin

+

+# mkin is free software: you can redistribute it and/or modify it under the

+# terms of the GNU General Public License as published by the Free Software

+# Foundation, either version 3 of the License, or (at your option) any later

+# version.

+

+# This program is distributed in the hope that it will be useful, but WITHOUT

+# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS

+# FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more

+# details.

+

+# You should have received a copy of the GNU General Public License along with

+# this program. If not, see <http://www.gnu.org/licenses/>

+

 test.mkinmod.SFO <- function()

 {  

   SFO.diffs <- c(

@@ -5,7 +25,9 @@ test.mkinmod.SFO <- function()
   )

   SFO.parms <- c("k_parent_sink")

   SFO.map <- list(parent = c(SFO = "parent"))

-  SFO <- list(diffs = SFO.diffs, parms = SFO.parms, map = SFO.map)

+  SFO.coefmat <- matrix("- k_parent_sink", dimnames = list("parent", "parent"))

+  SFO <- list(diffs = SFO.diffs, parms = SFO.parms, map = SFO.map, 

+    coefmat = SFO.coefmat)

   class(SFO) <- "mkinmod"

   SFO.1 <- mkinmod(

     parent = list(type = "SFO", to = NULL, sink = TRUE)

@@ -39,7 +61,13 @@ test.mkinmod.SFORB <- function()
   )

   SFORB.parms <- c("k_parent_free_sink", "k_parent_free_bound", "k_parent_bound_free")

   SFORB.map <- list(parent = c(SFORB = "parent_free", SFORB = "parent_bound"))

-  SFORB <- list(diffs = SFORB.diffs, parms = SFORB.parms, map = SFORB.map)

+  vars <- paste("parent", c("free", "bound"), sep="_")

+  SFORB.coefmat <- matrix(

+    c("- k_parent_free_sink - k_parent_free_bound", "k_parent_bound_free",

+      "k_parent_free_bound", "- k_parent_bound_free"), nrow=2, byrow=TRUE, 

+    dimnames=list(vars, vars))

+  SFORB <- list(diffs = SFORB.diffs, parms = SFORB.parms, 

+    map = SFORB.map, coefmat = SFORB.coefmat)

   class(SFORB) <- "mkinmod"

   SFORB.mkinmod <- mkinmod(

     parent = list(type = "SFORB", to = NULL, sink=TRUE)

@@ -55,7 +83,12 @@ test.mkinmod.SFO_SFO <- function()
   )

   SFO_SFO.parms <- c("k_parent_sink", "k_m1_sink", "k_parent_m1")

   SFO_SFO.map <- list(parent = c(SFO = "parent"), m1 = c(SFO = "m1"))

-  SFO_SFO <- list(diffs = SFO_SFO.diffs, parms = SFO_SFO.parms, map = SFO_SFO.map)

+  vars <- c("parent", "m1")

+  SFO_SFO.coefmat <- matrix(c("- k_parent_sink - k_parent_m1", 

+          "0", "k_parent_m1", "- k_m1_sink"), nrow=2, byrow=TRUE,

+      dimnames=list(vars, vars))

+  SFO_SFO <- list(diffs = SFO_SFO.diffs, parms = SFO_SFO.parms, 

+    map = SFO_SFO.map, coefmat = SFO_SFO.coefmat)

   class(SFO_SFO) <- "mkinmod"

   SFO_SFO.mkinmod <- mkinmod(

     parent = list(type = "SFO", to = "m1", sink=TRUE),

@@ -73,7 +106,14 @@ test.mkinmod.SFO_SFO2 <- function()
   )

   SFO_SFO2.parms <- c("k_parent_sink", "k_m1_sink", "k_m2_sink", "k_parent_m1", "k_parent_m2")

   SFO_SFO2.map <- list(parent = c(SFO = "parent"), m1 = c(SFO = "m1"), m2 = c(SFO = "m2"))

-  SFO_SFO2 <- list(diffs = SFO_SFO2.diffs, parms = SFO_SFO2.parms, map = SFO_SFO2.map)

+  vars <- c("parent", "m1", "m2")

+  SFO_SFO2.coefmat <- matrix(

+      c("- k_parent_sink - k_parent_m1 - k_parent_m2", "0", "0",

+          "k_parent_m1", "- k_m1_sink", "0",

+          "k_parent_m2", "0", "- k_m2_sink"), nrow=3, byrow=TRUE,

+      dimnames=list(vars, vars))

+  SFO_SFO2 <- list(diffs = SFO_SFO2.diffs, parms = SFO_SFO2.parms, 

+      map = SFO_SFO2.map, coefmat = SFO_SFO2.coefmat)

   class(SFO_SFO2) <- "mkinmod"

   SFO_SFO2.mkinmod <- mkinmod(

     parent = list(type = "SFO", to = c("m1", "m2"), sink=TRUE),

@@ -90,9 +130,16 @@ test.mkinmod.FOMC_SFO2 <- function()
     m1 = "d_m1 = - k_m1_sink * m1 + f_to_m1 * (alpha/beta) * ((time/beta) + 1)^-1 * parent",

     m2 = "d_m2 = - k_m2_sink * m2 + (1 - f_to_m1) * f_to_m2 * (alpha/beta) * ((time/beta) + 1)^-1 * parent"

   )

-  FOMC_SFO2.parms <- c("alpha", "beta", "k_m1_sink", "k_m2_sink", "f_to_m1", "f_to_m2")

-  FOMC_SFO2.map <- list(parent = c(FOMC = "parent"), m1 = c(SFO = "m1"), m2 = c(SFO = "m2"))

-  FOMC_SFO2 <- list(diffs = FOMC_SFO2.diffs, parms = FOMC_SFO2.parms, map = FOMC_SFO2.map)

+  FOMC_SFO2.parms <- c("alpha", "beta", "k_m1_sink", "k_m2_sink", 

+    "f_to_m1", "f_to_m2")

+  FOMC_SFO2.map <- list(parent = c(FOMC = "parent"), 

+    m1 = c(SFO = "m1"), 

+    m2 = c(SFO = "m2"))

+  FOMC_SFO2.ff <- c(

+    m1 = "f_to_m1", 

+    m2 = "(1 - f_to_m1) * f_to_m2")

+  FOMC_SFO2 <- list(diffs = FOMC_SFO2.diffs, parms = FOMC_SFO2.parms, 

+    map = FOMC_SFO2.map, ff = FOMC_SFO2.ff)

   class(FOMC_SFO2) <- "mkinmod"

   FOMC_SFO2.mkinmod <- mkinmod(

     parent = list(type = "FOMC", to = c("m1", "m2"), sink=TRUE),

diff --git a/man/DFOP.solution.Rd b/man/DFOP.solution.Rd
new file mode 100644
index 00000000..d30cf7f3
--- /dev/null
+++ b/man/DFOP.solution.Rd
@@ -0,0 +1,36 @@
+\name{DFOP.solution}

+\Rdversion{1.1}

+\alias{DFOP.solution}

+\title{

+Dual First-Order in Parallel kinetics

+}

+\description{

+  Function describing decline from a defined starting value using the sum

+  of two exponential decline functions.

+}

+\usage{

+DFOP.solution(t, parent.0, k1, k2, g)

+}

+\arguments{

+  \item{t}{ Time. }

+  \item{parent.0}{ Starting value for the response variable at time zero. }

+  \item{k1}{ First kinetic constant. }

+  \item{k2}{ Second kinetic constant. }

+  \item{g}{ Fraction of the starting value declining according to the

+    first kinetic constant.

+  }

+}

+\value{

+  The value of the response variable at time \code{t}.

+}

+\references{ 

+  FOCUS (2006) \dQuote{Guidance Document on Estimating Persistence and

+  Degradation Kinetics from Environmental Fate Studies on Pesticides in EU

+  Registration} Report of the FOCUS Work Group on Degradation Kinetics,

+  EC Document Reference Sanco/10058/2005 version 2.0, 434 pp,

+  \url{http://focus.jrc.ec.europa.eu/dk} 

+}

+\examples{

+  \dontrun{plot(function(x) DFOP.solution(x, 100, 5, 0.5, 0.3), 0, 4, ylim=c(0,100))}

+}

+\keyword{ manip }

diff --git a/man/FOCUS_2006_datasets.Rd b/man/FOCUS_2006_datasets.Rd
index 04565f74..5053b880 100644
--- a/man/FOCUS_2006_datasets.Rd
+++ b/man/FOCUS_2006_datasets.Rd
@@ -11,7 +11,7 @@
 Datasets A to F from the FOCUS Kinetics report from 2006

 }

 \description{

-Data taken from an FOCUS (2006), p. 258.

+Data taken from FOCUS (2006), p. 258.

 }

 \usage{FOCUS_2006_datasets}

 \format{

diff --git a/man/FOMC.solution.Rd b/man/FOMC.solution.Rd
new file mode 100644
index 00000000..d04d34e1
--- /dev/null
+++ b/man/FOMC.solution.Rd
@@ -0,0 +1,49 @@
+\name{FOMC.solution}

+\Rdversion{1.1}

+\alias{FOMC.solution}

+\title{ First-Order Multi-Compartment kinetics }

+\description{

+  Function describing exponential decline from a defined starting value, with 

+  a decreasing rate constant. 

+

+  The form given here differs slightly from the original reference by Gustafson

+  and Holden (1990). The parameter \code{beta} corresponds to 1/beta in the

+  original equation.

+}

+\usage{

+FOMC.solution(t, parent.0, alpha, beta)

+}

+\arguments{

+  \item{t}{ Time. }

+  \item{parent.0}{ Starting value for the response variable at time zero. }

+  \item{alpha}{ 

+    Shape parameter determined by coefficient of variation of rate constant

+    values. }

+  \item{beta}{

+    Location parameter.

+}

+}

+\note{

+  The solution of the FOMC kinetic model reduces to the

+  \code{\link{SFO.solution}} for large values of \code{alpha} and

+  \code{beta} with 

+  \eqn{k = \frac{\beta}{\alpha}}{k = beta/alpha}.

+}

+\value{

+  The value of the response variable at time \code{t}.

+}

+\references{

+  FOCUS (2006) \dQuote{Guidance Document on Estimating Persistence and

+  Degradation Kinetics from Environmental Fate Studies on Pesticides in EU

+  Registration} Report of the FOCUS Work Group on Degradation Kinetics,

+  EC Document Reference Sanco/10058/2005 version 2.0, 434 pp,

+  \url{http://focus.jrc.ec.europa.eu/dk} 

+

+  Gustafson DI and Holden LR (1990) Nonlinear pesticide dissipation in soil: A

+  new model based on spatial variability. \emph{Environmental Science and 

+  Technology} \bold{24}, 1032-1038

+}

+\examples{

+  \dontrun{plot(function(x) FOMC.solution(x, 100, 10, 2), 0, 2)}

+}

+\keyword{ manip }

diff --git a/man/HS.solution.Rd b/man/HS.solution.Rd
new file mode 100644
index 00000000..71f68a1e
--- /dev/null
+++ b/man/HS.solution.Rd
@@ -0,0 +1,34 @@
+\name{HS.solution}

+\Rdversion{1.1}

+\alias{HS.solution}

+\title{ Hockey-Stick kinetics }

+\description{

+  Function describing two exponential decline functions with a break point

+  between them.

+}

+\usage{

+HS.solution(t, parent.0, k1, k2, tb)

+}

+\arguments{

+  \item{t}{ Time. }

+  \item{parent.0}{ Starting value for the response variable at time zero. }

+  \item{k1}{ First kinetic constant. }

+  \item{k2}{ Second kinetic constant. }

+  \item{tb}{ Break point. Before this time, exponential decline according

+    to \code{k1} is calculated, after this time, exponential decline proceeds

+    according to \code{k2}. }

+}

+\value{

+  The value of the response variable at time \code{t}.

+}

+\references{ 

+  FOCUS (2006) \dQuote{Guidance Document on Estimating Persistence and

+  Degradation Kinetics from Environmental Fate Studies on Pesticides in EU

+  Registration} Report of the FOCUS Work Group on Degradation Kinetics,

+  EC Document Reference Sanco/10058/2005 version 2.0, 434 pp,

+  \url{http://focus.jrc.ec.europa.eu/dk} 

+}

+\examples{

+  \dontrun{plot(function(x) HS.solution(x, 100, 2, 0.3, 0.5), 0, 2, ylim=c(0,100))}

+}

+\keyword{ manip }

diff --git a/man/SFO.solution.Rd b/man/SFO.solution.Rd
new file mode 100644
index 00000000..41a9ba96
--- /dev/null
+++ b/man/SFO.solution.Rd
@@ -0,0 +1,29 @@
+\name{SFO.solution}

+\Rdversion{1.1}

+\alias{SFO.solution}

+\title{ Single First-Order kinetics }

+\description{

+  Function describing exponential decline from a defined starting value.

+}

+\usage{

+  SFO.solution(t, parent.0, k)

+}

+\arguments{

+  \item{t}{ Time. }

+  \item{parent.0}{ Starting value for the response variable at time zero. }

+  \item{k}{ Kinetic constant. }

+}

+\value{

+  The value of the response variable at time \code{t}.

+}

+\references{ 

+  FOCUS (2006) \dQuote{Guidance Document on Estimating Persistence and

+  Degradation Kinetics from Environmental Fate Studies on Pesticides in EU

+  Registration} Report of the FOCUS Work Group on Degradation Kinetics,

+  EC Document Reference Sanco/10058/2005 version 2.0, 434 pp,

+  \url{http://focus.jrc.ec.europa.eu/dk} 

+}

+\examples{

+  \dontrun{plot(function(x) SFO.solution(x, 100, 3), 0, 2)}

+}

+\keyword{ manip }

diff --git a/man/SFORB.solution.Rd b/man/SFORB.solution.Rd
new file mode 100644
index 00000000..a935f696
--- /dev/null
+++ b/man/SFORB.solution.Rd
@@ -0,0 +1,36 @@
+\name{SFORB.solution}

+\Rdversion{1.1}

+\alias{SFORB.solution}

+\title{ Single First-Order Reversible Binding kinetics }

+\description{

+  Function describing the solution of the differential equations describing

+  the kinetic model with first-order terms for a two-way transfer from a free

+  to a bound fraction, and a first-order degradation term for the free

+  fraction.  The initial condition is a defined amount in the free fraction and

+  no substance in the bound fraction.

+}

+\usage{

+  SFORB.solution(t, parent.0, k_12, k_21, k_1output)

+}

+\arguments{

+  \item{t}{ Time. }

+  \item{parent.0}{ Starting value for the response variable at time zero. }

+  \item{k_12}{ Kinetic constant describing transfer from free to bound. }

+  \item{k_21}{ Kinetic constant describing transfer from bound to free. }

+  \item{k_1output}{ Kinetic constant describing degradation of the free fraction. }

+}

+\value{

+  The value of the response variable, which is the sum of free and bound 

+  fractions at time \code{t}.

+}

+\references{ 

+  FOCUS (2006) \dQuote{Guidance Document on Estimating Persistence and

+  Degradation Kinetics from Environmental Fate Studies on Pesticides in EU

+  Registration} Report of the FOCUS Work Group on Degradation Kinetics,

+  EC Document Reference Sanco/10058/2005 version 2.0, 434 pp,

+  \url{http://focus.jrc.ec.europa.eu/dk} 

+}

+\examples{

+  \dontrun{plot(function(x) SFORB.solution(x, 100, 0.5, 2, 3), 0, 2)}

+}

+\keyword{ manip }

diff --git a/man/mkin_long_to_wide.Rd b/man/mkin_long_to_wide.Rd
index 97791e6d..6fa18606 100644
--- a/man/mkin_long_to_wide.Rd
+++ b/man/mkin_long_to_wide.Rd
@@ -4,7 +4,7 @@
   Convert a dataframe from long to wide format.
 }
 \usage{
-mkin_long_to_wide(long_data, time = "time")
+mkin_long_to_wide(long_data, time = "time", outtime = "time")
 }
 \description{
   This function takes a dataframe in the long form as required by \code{\link{modCost}} 
@@ -17,7 +17,10 @@ mkin_long_to_wide(long_data, time = "time")
   \code{time} argument and one column of observed values named "value".
 }
   \item{time}{
-  The name of the time variable.
+  The name of the time variable in the long input data.
+}
+  \item{outtime}{
+  The name of the time variable in the wide output data.
 }
 }
 \value{
diff --git a/man/mkinerrmin.Rd b/man/mkinerrmin.Rd
index 4bbf96ab..654115b6 100644
--- a/man/mkinerrmin.Rd
+++ b/man/mkinerrmin.Rd
@@ -42,5 +42,4 @@ mkinerrmin(errdata, n.parms, alpha = 0.05)
   EC Document Reference Sanco/10058/2005 version 2.0, 434 pp,

   \url{http://focus.jrc.ec.europa.eu/dk} 

 }

-\author{ Johannes Ranke }

 \keyword{ manip }

diff --git a/man/mkinfit.Rd b/man/mkinfit.Rd
index 0ec2d218..d4139eb3 100644
--- a/man/mkinfit.Rd
+++ b/man/mkinfit.Rd
@@ -15,7 +15,10 @@ mkinfit(mkinmod, observed,
   state.ini = c(100, rep(0, length(mkinmod$diffs) - 1)), 
   lower = 0, upper = Inf, 
   fixed_parms = NULL, fixed_initials = names(mkinmod$diffs)[-1], 
-  plot = FALSE, quiet = FALSE, err = NULL, weight = "none", scaleVar = FALSE, ...)
+  eigen = FALSE,
+  plot = FALSE, quiet = FALSE, err = NULL, weight = "none", 
+  scaleVar = FALSE, 
+  atol = 1e-6, ...)
 }
 \arguments{
   \item{mkinmod}{
@@ -32,8 +35,11 @@ mkinfit(mkinmod, observed,
     \code{\link{modFit}}.
   }
   \item{parms.ini}{
-    A named vector if initial values for the parameters, including both parameters to
+    A named vector if initial values for the parameters, including parameters to
     be optimised and potentially also fixed parameters as indicated by \code{fixed_parms}.
+    The default is to set the initial values to 0.1. The setting of the initial values for 
+    the parameters has a strong impart on performance and it lies in the responsibilty of the 
+    user to set sensible initial values.   
   }
   \item{state.ini}{
     A named vector of initial values for the state variables of the model. In case the 
@@ -47,9 +53,10 @@ mkinfit(mkinmod, observed,
     negative values to not make sense for the models currently created by \code{\link{mkinmod}}.
   }
   \item{upper}{
-    Upper bounds for the parameters, passed to \code{\link{modFit}}. Defaults to \code{Inf}. Setting
-    non-infinite upper bounds has a strong impact on performance, and using a method like "L-BFGS-B" (by 
-    specifying an additional \code{method} argument) is recommended.
+    Upper bounds for the parameters, passed to \code{\link{modFit}}. Defaults to \code{Inf} 
+    except for formation fraction parameters. Setting non-infinite upper bounds has a strong 
+    impact on performance, and using a method like "L-BFGS-B" (by specifying an additional 
+    \code{method} argument) is recommended.
   }
   \item{fixed_parms}{
     The names of parameters that should not be optimised but rather kept at the values
@@ -59,6 +66,12 @@ mkinfit(mkinmod, observed,
     The names of model variables for which the initial state at time 0 should be excluded
     from the optimisation. Defaults to all state variables except for the first one.
   }
+  \item{eigen}{
+    Should the solution of the system of differential equations be based on the 
+    spectral decomposition of the coefficient matrix in cases that this is
+    possible? Be aware that the results may differ from the results returned using
+    the ode solver.
+  }
   \item{plot}{
     Should the observed values and the numerical solutions be plotted at each stage
     of the optimisation?
@@ -77,13 +90,17 @@ mkinfit(mkinmod, observed,
     Will be passed to \code{\link{modCost}}. Default is not to scale Variables according
     to the number of observations.
   }
+  \item{atol}{
+    Absolute error tolerance, passed to \code{\link{ode}}. Default is 1e-6 as in 
+    \code{\link{lsoda}}.
+  }
   \item{\dots}{
     Further arguments that will be passed to \code{\link{modFit}}. 
   }
 }
 \value{
-    A list with "mkinfit" and "modFit" in the class attribute. Thus, at
-    present, a summary can be obtained by \code{\link{summary.modFit}}. 
+    A list with "mkinfit" and "modFit" in the class attribute. 
+    A summary can be obtained by \code{\link{summary.mkinfit}}. 
 }
 \author{
   Johannes Ranke <jranke@{harlan.com,uni-bremen.de}>
diff --git a/man/mkinmod.Rd b/man/mkinmod.Rd
index 7ec96277..7c117357 100644
--- a/man/mkinmod.Rd
+++ b/man/mkinmod.Rd
@@ -15,13 +15,16 @@ mkinmod(...)
   \item{...}{

     For each observed variable, a list has to be specified as an argument, containing

     at least a component \code{type}, specifying the type of kinetics to use

-    for the variable. Currently, only single first order kinetics "SFO" or

-    single first order with reversible binding "SFORB" are implemented, as well as

-    "FOMC" for the first compartment which is assumed to be the source compartment.

-    Optional components of each argument are \code{to}, a vector of names of

-    variables to which a transfer is to be assumed in the model, and

-    \code{sink}, a logical specifying if transformation to unspecified

-    compounds (sink) is to be assumed in the model (defaults to \code{TRUE})

+    for the variable. Currently, single first order kinetics "SFO" or

+    single first order with reversible binding "SFORB" are implemented for all

+    variables, while 

+    "FOMC", "DFOP" and "HS" can additionally be chosen for the first

+    variable which is assumed to be the source compartment.  Optional components

+    of each argument are \code{to}, a

+    vector of names of variables to which a transfer is to be assumed in the

+    model, and \code{sink}, a logical specifying if transformation to

+    unspecified compounds (sink) is to be assumed in the model (defaults to

+    \code{TRUE})

   }

 }

 \value{

@@ -31,6 +34,7 @@ mkinmod(...)
     \item{parms}{ A vector of parameter names occurring in the differential equations. }

     \item{map}{ A list containing named character vectors for each observed variable, specifying

       the modelling variables by which it is represented. }

+    \item{coefmat}{ The coefficient matrix, if the system of differential equations can be represented by one. }

 }

 \author{

   Johannes Ranke <jranke@{harlan.com,uni-bremen.de}>

diff --git a/man/mkinplot.Rd b/man/mkinplot.Rd
index 58959d77..b72675a9 100644
--- a/man/mkinplot.Rd
+++ b/man/mkinplot.Rd
@@ -10,7 +10,8 @@
 }
 \usage{
   mkinplot(fit, xlab = "Time", ylab = "Observed", 
-    xlim = range(fit$data$time), ylim = range(fit$data$observed, na.rm=TRUE), ...)
+    xlim = range(fit$data$time), ylim = range(fit$data$observed, na.rm=TRUE), 
+    legend = TRUE, ...)
 }
 \arguments{
   \item{fit}{
@@ -28,6 +29,9 @@
   \item{ylim}{
     plot range in y direction.
   }
+  \item{legend}{
+    legend specifying if a legend should be included in the plot.
+  }
   \item{\dots}{
    further arguments passed to \code{\link{plot}}.
 }
diff --git a/man/mkinresplot.Rd b/man/mkinresplot.Rd
new file mode 100644
index 00000000..0b48692c
--- /dev/null
+++ b/man/mkinresplot.Rd
@@ -0,0 +1,64 @@
+\name{mkinresplot}

+\alias{mkinresplot}

+\title{

+  Function to plot residuals stored in an mkin object

+}

+\description{

+  This function plots the residuals for the specified subset of the 

+  observed variables from an mkinfit object.

+}

+\usage{

+  mkinresplot(object, obs_vars = vector(), 

+    xlab = "Time [days]", ylab = "Residual [\% of applied radioactivity]", 

+    maxabs = "auto", legend = TRUE, lpos = "topright", ...)

+}

+\arguments{

+  \item{object}{

+    A fit represented in an \code{\link{mkinfit}} object.

+}

+  \item{obs_vars}{

+    A character vector of names of the observed variables for which residuals

+    should be plotted.

+}

+  \item{xlab}{

+    Label for the x axis. Defaults to "Time [days]".

+}

+  \item{ylab}{

+    Label for the y axis. Defaults to "Residual [\% of applied radioactivity]".

+}

+  \item{maxabs}{

+    Maximum absolute value of the residuals. This is used for the scaling of

+    the y axis and defaults to "auto".

+}

+  \item{legend}{

+    Should a legend be plotted? Defaults to "TRUE".

+}

+  \item{lpos}{ 

+    Where should the legend be placed? Default is "topright". Will be passed on to

+		\code{\link{legend}}. }

+  \item{\dots}{

+   further arguments passed to \code{\link{plot}}.

+}

+}

+\value{

+  Nothing is returned by this function, as it is called for its side effect, namely to produce a plot.

+}

+\author{

+  Katrin Lindenberger and Johannes Ranke

+}

+

+\seealso{

+ \code{\link{mkinplot}}, for a way to plot the data and the fitted lines of the

+ mkinfit object.  }

+\examples{

+data <- mkin_wide_to_long(schaefer07_complex_case, time = "time")

+model <- mkinmod(

+  parent = list(type = "SFO", to = c("A1", "B1", "C1"), sink = FALSE),

+  A1 = list(type = "SFO", to = "A2"),

+  B1 = list(type = "SFO"),

+  C1 = list(type = "SFO"),

+  A2 = list(type = "SFO"))

+\dontrun{fit <- mkinfit(model, data, plot=TRUE)}

+\dontrun{mkinresplot(fit, "A1")}

+}

+\keyword{ hplot }

diff --git a/man/mkinstart.Rd b/man/mkinstart.Rd
new file mode 100644
index 00000000..ec1204f2
--- /dev/null
+++ b/man/mkinstart.Rd
@@ -0,0 +1,38 @@
+\name{mkinstart}

+\alias{mkinstart}

+\title{

+  Generate starting parameters for optimisations

+}

+\description{

+  This function is supposed to analyse a kinetic model and kinetic data in

+  order to generate suitable starting parameters for fitting the model.

+  It does not do anything really useful at the moment.

+}

+\usage{

+mkinstart(model, data, mode = "auto")

+}

+\arguments{

+  \item{model}{

+    A kinetic model of class \code{\link{mkinmod}}.

+}

+  \item{data}{

+    Kinetic data in wide format suitable for fitting with \code{\link{mkinfit}}.

+}

+  \item{mode}{

+    How the starting parameters should be generated. At the moment, only 

+    "auto" is supported, which internally uses \code{\link{kinfit}}. 

+}

+}

+\details{

+%%  ~~ If necessary, more details than the description above ~~

+}

+\value{

+  A named vector of starting parameters.

+}

+\author{

+  Johannes Ranke

+}

+\examples{

+   

+}

+\keyword{ manip }

diff --git a/man/summary.mkinfit.Rd b/man/summary.mkinfit.Rd
index 1c305899..8a8c6ab2 100644
--- a/man/summary.mkinfit.Rd
+++ b/man/summary.mkinfit.Rd
@@ -11,8 +11,8 @@
   and residual values.

 }

 \usage{

-\method{summary}{mkinfit}(object, data = TRUE, distimes = TRUE, cov = FALSE, ...)

-\method{print}{summary.mkinfit}(x, digits = max(3, getOption("digits") - 3), ...)

+\method{summary}{mkinfit}(object, data = TRUE, distimes = TRUE, ff = TRUE, cov = FALSE, ...)

+\method{print}{summary.mkinfit}(x, digits = max(3, getOption("digits") - 3), tval = TRUE, ...)

 }

 

 \arguments{

@@ -26,7 +26,10 @@
   logical, indicating whether the data should be included in the summary. 

 }

   \item{distimes}{

-  logical, indicating whether DT50 and DT90 values shoule be included.

+  logical, indicating whether DT50 and DT90 values should be included.

+}

+  \item{ff}{

+  logical, indicating whether formation fractions should be included.

 }

   \item{cov}{

   logical, indicating whether parameter covariances should be calculated.

@@ -34,6 +37,10 @@ Passed to \code{\link{summary.modFit}}.  }
   \item{digits}{

   Number of digits to use for printing

 }

+  \item{tval}{

+  Should the test statistic of the t-test for parameter significance be

+  printed? Defaults to \code{TRUE}. Saves vertical space if set to \code{FALSE}.

+}

   \item{\dots}{

   optional arguments passed to methods like \code{print}.

 }

@@ -47,6 +54,7 @@ Passed to \code{\link{summary.modFit}}.  }
   \item{fixed }{The values of fixed parameters.}

   \item{errmin }{The chi2 error levels for each observed variable.}

   \item{disstimes }{The DT50 and DT90 values for each observed variable.}

+  \item{ff }{The estimated formation fractions derived from the fitted model.}

   The print method is called for its side effect, i.e. printing the summary.

 }

 \references{

@@ -57,7 +65,7 @@ Passed to \code{\link{summary.modFit}}.  }
   \url{http://focus.jrc.ec.europa.eu/dk} 

 }

 \author{

-  Johannes Ranke <jranke@harlan.com>

+  Johannes Ranke <jranke@{harlan.com,uni-bremen.de}>

 }

 \examples{

   summary(mkinfit(mkinmod(parent = list(type = "SFO")), FOCUS_2006_A))

diff --git a/tests/doRUnit.R b/tests/doRUnit.R
index e2ad4cd2..ed3ef1df 100644
--- a/tests/doRUnit.R
+++ b/tests/doRUnit.R
@@ -1,17 +1,10 @@
+# $Id: doRUnit.R 96 2011-04-29 11:10:40Z jranke $
+# Adapted from a version around 2.9 of the rcdk package by Rajarshi Guha
 if(require("RUnit", quietly=TRUE)) {
  
-  ## --- Setup ---
- 
-  pkg <- "mkin" # <-- Change to package name!
-  if(Sys.getenv("RCMDCHECK") == "FALSE") {
-    ## Path to unit tests for standalone running under Makefile (not R CMD check)
-    ## PKG/tests/../inst/unitTests
-    path <- file.path(getwd(), "..", "inst", "unitTests")
-  } else {
-    ## Path to unit tests for R CMD check
-    ## PKG.Rcheck/tests/../PKG/unitTests
-    path <- system.file(package=pkg, "unitTests")
-  }
+  pkg <- "mkin"
+  path <- system.file(package=pkg, "unitTests")
+
   cat("\nRunning unit tests\n")
   print(list(pkg=pkg, getwd=getwd(), pathToUnitTests=path))