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 |
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