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% 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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