Package: OptimModel 2.0-1
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_2.0-1.tar.gz
OptimModel_2.0-1.tar.gz(r-4.5-noble)OptimModel_2.0-1.tar.gz(r-4.4-noble)
OptimModel_2.0-1.tgz(r-4.4-emscripten)OptimModel_2.0-1.tgz(r-4.3-emscripten)
OptimModel.pdf |OptimModel.html✨
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 10 months agofrom:1fcb1e305f. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 08 2024 |
| R-4.5-linux | OK | Dec 08 2024 |
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
