From eb8b56ed6f83e3c7df63e48f9488362363d26709 Mon Sep 17 00:00:00 2001
From: Johannes Ranke <jranke@uni-bremen.de>
Date: Sun, 14 Aug 2022 14:57:13 +0200
Subject: Basic multistart method for saem.mmkin objects

---
 man/multistart.Rd | 43 +++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 43 insertions(+)
 create mode 100644 man/multistart.Rd

(limited to 'man/multistart.Rd')

diff --git a/man/multistart.Rd b/man/multistart.Rd
new file mode 100644
index 00000000..ff60b01d
--- /dev/null
+++ b/man/multistart.Rd
@@ -0,0 +1,43 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/multistart.R
+\name{multistart}
+\alias{multistart}
+\alias{multistart.saem.mmkin}
+\title{Perform a hierarchical model fit with multiple starting values}
+\usage{
+multistart(object, n = 50, cores = 1, ...)
+
+\method{multistart}{saem.mmkin}(object, n = 50, cores = 1, ...)
+}
+\arguments{
+\item{object}{The fit object to work with}
+
+\item{n}{How many different combinations of starting parameters should be
+used?}
+
+\item{cores}{How many fits should be run in parallel?}
+
+\item{\dots}{Passed to the update function.}
+}
+\value{
+A list of \link{saem.mmkin} objects, with class attributes
+'multistart.saem.mmkin' and 'multistart'.
+}
+\description{
+The purpose of this method is to check if a certain algorithm for fitting
+nonlinear hierarchical models (also known as nonlinear mixed-effects models)
+will reliably yield results that are sufficiently similar to each other, if
+started with a certain range of reasonable starting parameters. It is
+inspired by the article on practical identifiabiliy in the frame of nonlinear
+mixed-effects models by Duchesne et al (2021).
+}
+\details{
+Currently, parallel execution of the fits is only supported using
+\link[parallel:mclapply]{parallel::mclapply}, i.e. not available on Windows.
+}
+\references{
+Duchesne R, Guillemin A, Gandrillon O, Crauste F. Practical
+identifiability in the frame of nonlinear mixed effects models: the example
+of the in vitro erythropoiesis. BMC Bioinformatics. 2021 Oct 4;22(1):478.
+doi: 10.1186/s12859-021-04373-4.
+}
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