Package: emaxnls 0.2.0

emaxnls: Nonlinear Least Squares Estimation for Emax Regression Models

Provides estimation and covariate selection tools for Emax regression models using nonlinear least squares methods. Supported optimisation algorithms are Gauss-Newton, Levenberg-Marquardt, and the port library for bounded optimisation. The package also provides tools to assist in simulation work using Emax regression.

Authors:Danielle Navarro [aut, cre]

emaxnls_0.2.0.tar.gz
emaxnls_0.2.0.zip(r-4.7-any)emaxnls_0.2.0.zip(r-4.6-any)emaxnls_0.2.0.zip(r-4.5-any)
emaxnls_0.2.0.tgz(r-4.6-any)emaxnls_0.2.0.tgz(r-4.5-any)
emaxnls_0.2.0.tar.gz(r-4.7-any)emaxnls_0.2.0.tar.gz(r-4.6-any)
emaxnls_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
emaxnls/json (API)

# Install 'emaxnls' in R:
install.packages('emaxnls', repos = c('https://djnavarro.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/djnavarro/emaxnls/issues

Pkgdown/docs site:https://emaxnls.djnavarro.net

Datasets:
  • emax_df - Sample simulated data for Emax exposure-response models with covariates.

On CRAN:

Conda:

4.26 score 2 stars 10 scripts 304 downloads 13 exports 5 dependencies

Last updated from:ef99588afa. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK191
source / vignettesOK219
linux-releaseOK161
macos-releaseOK131
macos-oldrelOK110
windows-develOK106
windows-releaseOK93
windows-oldrelOK115
wasm-releaseOK112

Exports:emax_add_termemax_convergedemax_funemax_logisticemax_logistic_initemax_logistic_optionsemax_nlsemax_nls_initemax_nls_optionsemax_remove_termemax_scm_backwardemax_scm_forwardemax_scm_history

Dependencies:Derivminpack.lmmvtnormRcpprlang

Readme and manuals

Help Manual

Help pageTopics
Akaike information criterion / Bayesian information criterionAIC AIC.emaxlogistic AIC.emaxnls BIC.emaxlogistic BIC.emaxnls
Analysis of variance for Emax regression modelsanova anova.emaxlogistic anova.emaxnls
Coefficients for an Emax regressioncoef.emaxnls
Confidence intervals for Emax regression model parametersconfint.emaxnls
Model deviance for an Emax regression modeldeviance deviance.emaxlogistic deviance.emaxnls
Residual degrees of freedom for an Emax regression modeldf.residual df.residual.emaxlogistic df.residual.emaxnls
Check Emax regression model for convergence statusemax_converged
Sample simulated data for Emax exposure-response models with covariates.emax_df
Construct Emax prediction function from model objectemax_fun emax_fun.emaxlogistic emax_fun.emaxnls
Estimate parameters for a logistic Emax regression modelemax_logistic
Construct an initial guess for logistic Emax model parametersemax_logistic_init
Settings used to estimate a logistic Emax modelemax_logistic_options
Estimate parameters for an Emax regression modelemax_nls
Construct an initial guess for the Emax model parametersemax_nls_init
Settings used to estimate Emax modelemax_nls_options
Stepwise covariate modelling for Emax regressionemax_scm emax_scm_backward emax_scm_forward emax_scm_history
Add or remove a covariate term from an Emax regressionemax_add_term emax_remove_term emax_update
Fitted values for an Emax regression modelfitted fitted.emaxlogistic fitted.emaxnls
Log-likelihood for an Emax regression modellogLik logLik.emaxlogistic logLik.emaxnls
Number of observations for an Emax regression modelnobs.emaxnls
Predicting from Emax regression modelspredict predict.emaxlogistic predict.emaxnls
Print an Emax regression model objectprint print.emaxlogistic print.emaxnls
Residuals for an Emax regression modelresiduals residuals.emaxlogistic residuals.emaxnls
Residual standard deviation for an Emax regression modelsigma.emaxnls
Simulate responses from an Emax regression modelsimulate simulate.emaxlogistic simulate.emaxnls
Summary of an Emax regression modelsummary summary.emaxlogistic summary.emaxnls
Variance-covariance matrix for an Emax regressionvcov.emaxnls