Package: OptimModel 2.0-3

Steven Novick
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>.
Authors:
OptimModel_2.0-3.tar.gz
OptimModel_2.0-3.tar.gz(r-4.7-any)OptimModel_2.0-3.tar.gz(r-4.6-any)
OptimModel_2.0-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
OptimModel/json (API)
| # Install 'OptimModel' in R: |
| install.packages('OptimModel', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:2359e59185. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 141 | ||
| source / vignettes | OK | 177 | ||
| linux-release-x86_64 | OK | 137 | ||
| wasm-release | OK | 117 |
Exports:beta_modelexp_2o_decayexp_decayexp_decay_plf2djacget_se_funcgetDatagompertz_modelhill_modelhill_quad_modelhill_switchpoint_modelhill5_modellinear_modelnlogLik_cauchyoptim_fitrobust_fitrout_fitterrout_outlier_testtest_fitweights_huberweights_tukey_bwweights_varConstPowerweights_varExpweights_varIdentweights_varPower