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:Steven Novick [aut, cre]

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'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 1 stars 159 downloads 25 exports 2 dependencies

Last updated 8 months agofrom:1fcb1e305f. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 09 2024
R-4.5-linuxOKOct 09 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

Dependencies:latticeMatrix

OptimModel Vignette

Rendered fromOptimModel_vignette.Rmdusingknitr::rmarkdownon Oct 09 2024.

Last update: 2024-03-13
Started: 2024-03-13

Readme and manuals

Help Manual

Help pageTopics
Beta hook-effect model, gradient, starting values, and back-calculation functionsbeta_model
Five-parameter second-order exponential decay, gradient, starting values, and back-calculation functionsexp_2o_decay
Three-parameter exponential decay, gradient, starting values, and back-calculation functionsexp_decay
Three-parameter exponential decay with initial plateau, gradient, starting values, and back-calculation functionsexp_decay_pl
Compute derivative with respect to parametersf2djac
Compute standard error for a function of model parameter estimatesget_se_func
Extract data object from an optim fitgetData getData.optim.fit
Four-parameter Gompertz model, gradient, starting values, and back-calculation functionsgompertz_model
Four-parameter Hill model, gradient, starting values, and back-calculation functionshill_model
Five-parameter Hill model with quadratic component, gradient, starting values, and back-calculation functionshill_quad_model
Five-parameter Hill model with switch point component, gradient, starting values, and back-calculation functionshill_switchpoint_model
Five-parameter Hill model, gradient, starting values, and back-calculation functionshill5_model
Linear model, gradient, and starting valueslinear_model
Negative log-likelihood function for Cauchy regressionnlogLik_cauchy
Fit Model with optimoptim_fit robust_fit
Weight functions for optim_fitweights_huber weights_tukey_bw weights_varConstPower weights_varExp weights_varIdent weights_varPower
Predicted values for optim.fit objectspredict.optim_fit
Prints optim_fit objectsprint.optim_fit
Residuals for optim.fit objectsresiduals.optim_fit
Fit Model with ROUTrout_fitter
ROUT Outlier Testingrout_outlier_test
Test Fit Parameterstest_fit