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-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/saemix.R
-\name{saemix_model}
-\alias{saemix_model}
-\alias{saemix_data}
-\title{Create saemix models from mmkin row objects}
-\usage{
-saemix_model(object, cores = parallel::detectCores())
-
-saemix_data(object, ...)
-}
-\arguments{
-\item{object}{An mmkin row object containing several fits of the same model to different datasets}
-
-\item{cores}{The number of cores to be used for multicore processing.
-On Windows machines, cores > 1 is currently not supported.}
-
-\item{\dots}{Further parameters passed to \link[saemix:saemixData]{saemix::saemixData}}
-}
-\value{
-An \link[saemix:SaemixModel-class]{saemix::SaemixModel} object.
-
-An \link[saemix:SaemixData-class]{saemix::SaemixData} object.
-}
-\description{
-This function sets up a nonlinear mixed effects model for an mmkin row
-object for use with the saemix package. An mmkin row object is essentially a
-list of mkinfit objects that have been obtained by fitting the same model to
-a list of datasets.
-}
-\details{
-Starting values for the fixed effects (population mean parameters, argument psi0 of
-\code{\link[saemix:saemixModel]{saemix::saemixModel()}} are the mean values of the parameters found using
-mmkin. Starting variances of the random effects (argument omega.init) are the
-variances of the deviations of the parameters from these mean values.
-}
-\examples{
-ds <- lapply(experimental_data_for_UBA_2019[6:10],
- function(x) subset(x$data[c("name", "time", "value")]))
-names(ds) <- paste("Dataset", 6:10)
-sfo_sfo <- mkinmod(parent = mkinsub("SFO", "A1"),
-  A1 = mkinsub("SFO"))
-\dontrun{
-f_mmkin <- mmkin(list("SFO-SFO" = sfo_sfo), ds, quiet = TRUE)
-library(saemix)
-m_saemix <- saemix_model(f_mmkin)
-d_saemix <- saemix_data(f_mmkin)
-saemix_options <- list(seed = 123456,
-  save = FALSE, save.graphs = FALSE, displayProgress = FALSE,
-  nbiter.saemix = c(200, 80))
-f_saemix <- saemix(m_saemix, d_saemix, saemix_options)
-plot(f_saemix, plot.type = "convergence")
-}
-}