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authorjranke <jranke@edb9625f-4e0d-4859-8d74-9fd3b1da38cb>2013-03-05 01:00:20 +0000
committerjranke <jranke@edb9625f-4e0d-4859-8d74-9fd3b1da38cb>2013-03-05 01:00:20 +0000
commit04d3370364a0a7881c4ae815c20fd37b74f5639a (patch)
tree2f0b4c5f22a06b1e76660fc85359dcb957377669 /man
parentb50e799dbcbdf01901924b95969f75a2269f3a8c (diff)
- 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
Diffstat (limited to 'man')
-rw-r--r--man/summary.mkinfit.Rd20
1 files changed, 16 insertions, 4 deletions
diff --git a/man/summary.mkinfit.Rd b/man/summary.mkinfit.Rd
index 59b988a3..472b5dec 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{

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