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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
DOI: 10.32614/CRAN.package.OptimModel
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-devel: OptimModel_2.0-1.zip, r-release: OptimModel_2.0-1.zip, r-oldrel: OptimModel_2.0-1.zip
macOS binaries: r-release (arm64): OptimModel_2.0-1.tgz, r-oldrel (arm64): OptimModel_2.0-1.tgz, r-release (x86_64): OptimModel_2.0-1.tgz, r-oldrel (x86_64): OptimModel_2.0-1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=OptimModel to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.