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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 |
| Reference manual: | OptimModel.pdf |
| Vignettes: |
OptimModel Vignette |
| 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 |
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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.