- Calculate confidence intervals for parameters based on the t distribution

  Thanks to the CAKE developers at Tessella for the call to qt()
- Calculate asymetric confidence intervals for backtransformed parameters
- Overhaul and recompile vignettes



git-svn-id: svn+ssh://svn.r-forge.r-project.org/svnroot/kinfit/pkg/mkin@74 edb9625f-4e0d-4859-8d74-9fd3b1da38cb

1 files changed, 16 insertions, 4 deletions

diff --git a/man/summary.mkinfit.Rd b/man/summary.mkinfit.Rd
index 59b988a..472b5de 100644
--- a/man/summary.mkinfit.Rd
+++ b/man/summary.mkinfit.Rd
@@ -11,7 +11,7 @@
   and residual values.

 }

 \usage{

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

+\method{summary}{mkinfit}(object, data = TRUE, distimes = TRUE, alpha = 0.05, ...)

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

 }

 

@@ -28,6 +28,9 @@
   \item{distimes}{

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

 }

+  \item{alpha}{

+  error level for confidence interval estimation from t distribution

+}

   \item{digits}{

   Number of digits to use for printing

 }

@@ -36,15 +39,24 @@
 }

 }

 \value{

-  The summary function returns a list with the same components as

-  \code{\link{summary.modFit}}, and the additional components

+  The summary function returns a list derived from

+  \code{\link{summary.modFit}}, with components, among others

+  \item{version, Rversion}{The mkin and R versions used}

+  \item{date.fit, date.summary}{The dates where the fit and the summary were produced}

+  \item{use_of_ff}{Was maximum or minimum use made of formation fractions}

+  \item{residuals, residualVariance, sigma, modVariance, df}{As in summary.modFit}

+  \item{cov.unscaled, cov.scaled, info, niter, stopmess, par}{As in summary.modFit}

+  \item{bpar}{Optimised and backtransformed parameters}

   \item{diffs }{The differential equations used in the model}

   \item{data }{The data (see Description above).}

   \item{start }{The starting values and bounds, if applicable, for optimised parameters.}

   \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{bparms.ode }{All backtransformed ODE parameters, for use as starting parameters for

+    related models.}

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

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

+  \item{SFORB}{If applicable, eigenvalues of SFORB components of the model.}

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

 }

 \references{