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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/nlme.mmkin.R
\name{nlme.mmkin}
\alias{nlme.mmkin}
\title{Create an nlme model for an mmkin row object}
\usage{
\method{nlme}{mmkin}(
model,
data = sys.frame(sys.parent()),
fixed,
random = fixed,
groups,
start,
correlation = NULL,
weights = NULL,
subset,
method = c("ML", "REML"),
na.action = na.fail,
naPattern,
control = list(),
verbose = FALSE
)
}
\arguments{
\item{model}{An \code{\link{mmkin}} row object.}
\item{data}{Ignored, data are taken from the mmkin model}
\item{fixed}{Ignored, all degradation parameters fitted in the
mmkin model are used as fixed parameters}
\item{random}{If not specified, all fixed effects are complemented
with uncorrelated random effects}
\item{groups}{See the documentation of nlme}
\item{start}{If not specified, mean values of the fitted degradation
parameters taken from the mmkin object are used}
\item{correlation}{See the documentation of nlme}
\item{weights}{passed to nlme}
\item{subset}{passed to nlme}
\item{method}{passed to nlme}
\item{na.action}{passed to nlme}
\item{naPattern}{passed to nlme}
\item{control}{passed to nlme}
\item{verbose}{passed to nlme}
}
\value{
Upon success, a fitted nlme.mmkin object, which is
an nlme object with additional elements
}
\description{
Create an nlme model for an mmkin row object
}
\examples{
ds <- lapply(experimental_data_for_UBA_2019[6:10],
function(x) subset(x$data[c("name", "time", "value")], name == "parent"))
f <- mmkin("SFO", ds, quiet = TRUE, cores = 1)
library(nlme)
f_nlme <- nlme(f)
nlme(f, random = parent_0 ~ 1)
f_nlme <- nlme(f, start = c(parent_0 = 100, log_k_parent_sink = 0.1))
update(f_nlme, random = parent_0 ~ 1)
}
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