OptimModel: Perform Nonlinear Regression Using 'optim' as the Optimization Engine

A wrapper for 'optim' for nonlinear regression problems; see Nocedal J and Write S (2006, ISBN: 978-0387-30303-1). Performs ordinary least squares (OLS), iterative re-weighted least squares (IRWLS), and maximum likelihood (MLE). Also includes the robust outlier detection (ROUT) algorithm; see Motulsky, H and Brown, R (2006)<doi:10.1186/1471-2105-7-123>.

Version: 2.0-1
Depends: R (≥ 3.0.0), stats, utils, methods, Matrix
Suggests: knitr, testthat, rmarkdown, ggplot2
Published: 2024-03-12
Author: Steven Novick [aut, cre]
Maintainer: Steven Novick <Steven.Novick at takeda.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: OptimModel results

Documentation:

Reference manual: OptimModel.pdf
Vignettes: OptimModel Vignette

Downloads:

Package source: OptimModel_2.0-1.tar.gz
Windows binaries: r-prerel: OptimModel_2.0-1.zip, r-release: OptimModel_2.0-1.zip, r-oldrel: OptimModel_2.0-1.zip
macOS binaries: r-prerel (arm64): OptimModel_2.0-1.tgz, r-release (arm64): OptimModel_2.0-1.tgz, r-oldrel (arm64): OptimModel_2.0-1.tgz, r-prerel (x86_64): OptimModel_2.0-1.tgz, r-release (x86_64): OptimModel_2.0-1.tgz

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