From c1144753adfa0809003085009ebd85f8af9beda8 Mon Sep 17 00:00:00 2001 From: jranke Date: Tue, 10 Apr 2012 21:50:22 +0000 Subject: - Fitting and summaries now work with the new parameter transformations. - The SFORB models with metabolites is broken (see TODO) - Moved the vignette to the location recommended since R 2.14 - Added the missing documentation - Commented out the schaefer_complex_case test, as this version of mkin is not able to fit a model without sink and therefore mkin estimated parameters are quite different git-svn-id: svn+ssh://svn.r-forge.r-project.org/svnroot/kinfit/pkg/mkin@22 edb9625f-4e0d-4859-8d74-9fd3b1da38cb --- R/predict.mkinmod.R | 89 ----------------------------------------------------- 1 file changed, 89 deletions(-) delete mode 100644 R/predict.mkinmod.R (limited to 'R/predict.mkinmod.R') diff --git a/R/predict.mkinmod.R b/R/predict.mkinmod.R deleted file mode 100644 index 279fa525..00000000 --- a/R/predict.mkinmod.R +++ /dev/null @@ -1,89 +0,0 @@ -predict.mkinmod <- function(mkinmod, odeparms, odeini, outtimes, solution_type = "deSolve", map_output = TRUE, atol = 1e-6) { - - # Get the names of the state variables in the model - mod_vars <- names(mkinmod$diffs) - - # Create function for evaluation of expressions with ode parameters and initial values - evalparse <- function(string) - { - eval(parse(text=string), as.list(c(odeparms, odeini))) - } - - # Create a function calculating the differentials specified by the model - # if necessary - if (solution_type == "analytical") { - parent.type = names(mkinmod$map[[1]])[1] - parent.name = names(mkinmod$diffs)[[1]] - o <- switch(parent.type, - SFO = SFO.solution(outtimes, - evalparse(parent.name), - evalparse(paste("k", parent.name, sep="_"))), - FOMC = FOMC.solution(outtimes, - evalparse(parent.name), - evalparse("alpha"), evalparse("beta")), - DFOP = DFOP.solution(outtimes, - evalparse(parent.name), - evalparse("k1"), evalparse("k2"), - evalparse("g")), - HS = HS.solution(outtimes, - evalparse(parent.name), - evalparse("k1"), evalparse("k2"), - evalparse("tb")), - SFORB = SFORB.solution(outtimes, - evalparse(parent.name), - evalparse(paste("k", parent.name, "bound", sep="_")), - evalparse(paste("k", sub("free", "bound", parent.name), "free", sep="_")), - evalparse(paste("k", parent.name, sep="_"))) - ) - out <- cbind(outtimes, o) - dimnames(out) <- list(outtimes, c("time", sub("_free", "", parent.name))) - } - if (solution_type == "eigen") { - coefmat.num <- matrix(sapply(as.vector(mkinmod$coefmat), evalparse), - nrow = length(mod_vars)) - e <- eigen(coefmat.num) - c <- solve(e$vectors, odeini) - f.out <- function(t) { - e$vectors %*% diag(exp(e$values * t), nrow=length(mod_vars)) %*% c - } - o <- matrix(mapply(f.out, outtimes), - nrow = length(mod_vars), ncol = length(outtimes)) - dimnames(o) <- list(mod_vars, outtimes) - out <- cbind(time = outtimes, t(o)) - } - if (solution_type == "deSolve") { - mkindiff <- function(t, state, parms) { - - time <- t - diffs <- vector() - for (box in names(mkinmod$diffs)) - { - diffname <- paste("d", box, sep="_") - diffs[diffname] <- with(as.list(c(time, state, parms)), - eval(parse(text=mkinmod$diffs[[box]]))) - } - return(list(c(diffs))) - } - out <- ode( - y = odeini, - times = outtimes, - func = mkindiff, - parms = odeparms, - atol = atol - ) - } - if (map_output) { - # Output transformation for models with unobserved compartments like SFORB - out_mapped <- data.frame(time = out[,"time"]) - for (var in names(mkinmod$map)) { - if((length(mkinmod$map[[var]]) == 1) || solution == "analytical") { - out_mapped[var] <- out[, var] - } else { - out_mapped[var] <- rowSums(out[, mkinmod$map[[var]]]) - } - } - return(out_mapped) - } else { - return(out) - } -} -- cgit v1.2.1