Nonlinear Least Squares Estimation for Emax Regression Models

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Documentation for package ‘emaxnls’ version 0.1.1

• DESCRIPTION file.
• Package NEWS.

Help Pages

AIC	Akaike information criterion / Bayesian information criterion
AIC.emaxnls	Akaike information criterion / Bayesian information criterion
anova.emaxnls	Analysis of variance for Emax regression models
BIC.emaxnls	Akaike information criterion / Bayesian information criterion
coef.emaxnls	Coefficients for an Emax regression
confint.emaxnls	Confidence intervals for Emax regression model parameters
deviance.emaxnls	Model deviance for an Emax regression
df.residual.emaxnls	Residual degrees of freedom for an Emax regression model
emax_add_term	Add or remove a covariate term from an Emax regression
emax_converged	Check Emax regression model for convergence status
emax_df	Sample simulated data for Emax exposure-response models with covariates.
emax_fun	Construct Emax prediction function from model object
emax_nls	Estimate parameters for an Emax regression model
emax_nls_init	Construct an initial guess for the Emax model parameters
emax_nls_options	Settings used to estimate Emax model
emax_remove_term	Add or remove a covariate term from an Emax regression
emax_scm	Stepwise covariate modeling for Emax regression
emax_scm_backward	Stepwise covariate modeling for Emax regression
emax_scm_forward	Stepwise covariate modeling for Emax regression
emax_scm_history	Stepwise covariate modeling for Emax regression
emax_update	Add or remove a covariate term from an Emax regression
fitted.emaxnls	Fitted values for an Emax regression
logLik.emaxnls	Log-likelihood for an Emax regression model
nobs.emaxnls	Number of observations for an Emax regression model
predict.emaxnls	Predicting from Emax regression models
print.emaxnls	Print an Emax regression model object
residuals.emaxnls	Residuals for an Emax regression
sigma.emaxnls	Residual standard deviation for Emax regression models
simulate.emaxnls	Simulate responses from Emax regression model
summary.emaxnls	Summary of an Emax regression model
vcov.emaxnls	Variance-covariance matrix for an Emax regression