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Diffstat (limited to 'man/illparms.Rd')
| -rw-r--r-- | man/illparms.Rd | 35 |
1 files changed, 31 insertions, 4 deletions
diff --git a/man/illparms.Rd b/man/illparms.Rd index 7f70229d..90adf2bb 100644 --- a/man/illparms.Rd +++ b/man/illparms.Rd @@ -5,6 +5,9 @@ \alias{illparms.mkinfit} \alias{illparms.mmkin} \alias{print.illparms.mmkin} +\alias{illparms.saem.mmkin} +\alias{illparms.mhmkin} +\alias{print.illparms.mhmkin} \title{Method to get the names of ill-defined parameters} \usage{ illparms(object, ...) @@ -14,6 +17,12 @@ illparms(object, ...) \method{illparms}{mmkin}(object, conf.level = 0.95, ...) \method{print}{illparms.mmkin}(x, ...) + +\method{illparms}{saem.mmkin}(object, conf.level = 0.95, random = TRUE, errmod = TRUE, ...) + +\method{illparms}{mhmkin}(object, conf.level = 0.95, random = TRUE, errmod = TRUE, ...) + +\method{print}{illparms.mhmkin}(x, ...) } \arguments{ \item{object}{The object to investigate} @@ -23,14 +32,32 @@ illparms(object, ...) \item{conf.level}{The confidence level for checking p values} \item{x}{The object to be printed} + +\item{random}{For hierarchical fits, should random effects be tested?} + +\item{errmod}{For hierarchical fits, should error model parameters be +tested?} } \value{ -For \link{mkinfit} objects, a character vector of parameter names -For \link{mmkin} objects, an object of class 'illparms.mmkin' with a -suitable printing method. +For \link{mkinfit} or \link{saem} objects, a character vector of parameter +names. For \link{mmkin} or \link{mhmkin} objects, a matrix like object of class +'illparms.mmkin' or 'illparms.mhmkin'. The latter objects have a suitable +printing method. } \description{ -Method to get the names of ill-defined parameters +The method for generalised nonlinear regression fits as obtained +with \link{mkinfit} and \link{mmkin} checks if the degradation parameters +pass the Wald test (in degradation kinetics often simply called t-test) for +significant difference from zero. For this test, the parameterisation +without parameter transformations is used. +} +\details{ +The method for hierarchical model fits, also known as nonlinear +mixed-effects model fits as obtained with \link{saem} and \link{mhmkin} +checks if any of the confidence intervals for the random +effects expressed as standard deviations include zero, and if +the confidence intervals for the error model parameters include +zero. } \examples{ fit <- mkinfit("FOMC", FOCUS_2006_A, quiet = TRUE) |