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authorJohannes Ranke <jranke@uni-bremen.de>2021-06-09 16:53:31 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2021-06-09 17:00:41 +0200
commitc6eb6b2bb598002523c3d34d71b0e4a99671ccd6 (patch)
tree7c13470ea01fca6c1cec3749b66a84a17154ec82 /man/nlme.Rd
parent9907f17aa98bddfe60e82a71c70a2fea914a02f7 (diff)
Rudimentary support for setting up nlmixr models
- All degradation models are specified as ODE models. This appears to be fast enough - Error models are being translated to nlmixr as close to the mkin error model as possible. When using the 'saem' backend, it appears not to be possible to use the same error model for more than one observed variable - No support yet for models with parallel formation of metabolites, where the ilr transformation is used in mkin per default - There is a bug in nlmixr which appears to be triggered if the data are not balanced, see nlmixrdevelopment/nlmixr#530 - There is a print and a plot method, the summary method is not finished
Diffstat (limited to 'man/nlme.Rd')
-rw-r--r--man/nlme.Rd17
1 files changed, 0 insertions, 17 deletions
diff --git a/man/nlme.Rd b/man/nlme.Rd
index c367868b..e87b7a00 100644
--- a/man/nlme.Rd
+++ b/man/nlme.Rd
@@ -2,36 +2,19 @@
% Please edit documentation in R/nlme.R
\name{nlme_function}
\alias{nlme_function}
-\alias{mean_degparms}
\alias{nlme_data}
\title{Helper functions to create nlme models from mmkin row objects}
\usage{
nlme_function(object)
-mean_degparms(object, random = FALSE, test_log_parms = FALSE, conf.level = 0.6)
-
nlme_data(object)
}
\arguments{
\item{object}{An mmkin row object containing several fits of the same model to different datasets}
-
-\item{random}{Should a list with fixed and random effects be returned?}
-
-\item{test_log_parms}{If TRUE, log parameters are only considered in
-the mean calculations if their untransformed counterparts (most likely
-rate constants) pass the t-test for significant difference from zero.}
-
-\item{conf.level}{Possibility to adjust the required confidence level
-for parameter that are tested if requested by 'test_log_parms'.}
}
\value{
A function that can be used with nlme
-If random is FALSE (default), a named vector containing mean values
-of the fitted degradation model parameters. If random is TRUE, a list with
-fixed and random effects, in the format required by the start argument of
-nlme for the case of a single grouping variable ds.
-
A \code{\link{groupedData}} object
}
\description{

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