Package index • emaxnls

Emax regression

Build continuous response Emax regression models

Build binary response Emax logistic regression models

emax_logistic(): Estimate parameters for a logistic Emax regression model
emax_logistic_options(): Settings used to estimate a logistic Emax model
emax_logistic_init(): Construct an initial guess for logistic Emax model parameters

Stepwise covariate modeling for Emax regression models

emax_scm_forward() emax_scm_backward() emax_scm_history(): Stepwise covariate modeling for Emax regression

S3 methods for emaxnls and emaxlogistic objects

print(<emaxlogistic>) print(<emaxnls>): Print an Emax regression model object
summary(<emaxlogistic>) summary(<emaxnls>): Summary of an Emax regression model
coef(<emaxnls>): Coefficients for an Emax regression
vcov(<emaxnls>): Variance-covariance matrix for an Emax regression
confint(<emaxnls>): Confidence intervals for Emax regression model parameters
nobs(<emaxnls>): Number of observations for an Emax regression model
sigma(<emaxnls>): Residual standard deviation for an Emax regression model
residuals(<emaxlogistic>) residuals(<emaxnls>): Residuals for an Emax regression model
fitted(<emaxlogistic>) fitted(<emaxnls>): Fitted values for an Emax regression model
predict(<emaxlogistic>) predict(<emaxnls>): Predicting from Emax regression models
simulate(<emaxlogistic>) simulate(<emaxnls>): Simulate responses from an Emax regression model
logLik(<emaxlogistic>) logLik(<emaxnls>): Log-likelihood for an Emax regression model
AIC(<emaxlogistic>) BIC(<emaxlogistic>) AIC(<emaxnls>) BIC(<emaxnls>): Akaike information criterion / Bayesian information criterion
anova(<emaxlogistic>) anova(<emaxnls>): Analysis of variance for Emax regression models
deviance(<emaxlogistic>) deviance(<emaxnls>): Model deviance for an Emax regression model
df.residual(<emaxlogistic>) df.residual(<emaxnls>): Residual degrees of freedom for an Emax regression model

Other exported functions and objects

emax_df: Sample simulated data for Emax exposure-response models with covariates.
emax_converged(): Check Emax regression model for convergence status
emax_add_term() emax_remove_term(): Add or remove a covariate term from an Emax regression
emax_fun(): Construct Emax prediction function from model object