Nonlinear Least Squares Estimation for Emax Regression Models

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Documentation for package ‘emaxnls’ version 0.2.0

• DESCRIPTION file
• Package NEWS
• Package README

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AIC	Akaike information criterion / Bayesian information criterion
AIC.emaxlogistic	Akaike information criterion / Bayesian information criterion
AIC.emaxnls	Akaike information criterion / Bayesian information criterion
anova	Analysis of variance for Emax regression models
anova.emaxlogistic	Analysis of variance for Emax regression models
anova.emaxnls	Analysis of variance for Emax regression models
BIC.emaxlogistic	Akaike information criterion / Bayesian information criterion
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	Model deviance for an Emax regression model
deviance.emaxlogistic	Model deviance for an Emax regression model
deviance.emaxnls	Model deviance for an Emax regression model
df.residual	Residual degrees of freedom for an Emax regression model
df.residual.emaxlogistic	Residual degrees of freedom for an Emax regression model
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_fun.emaxlogistic	Construct Emax prediction function from model object
emax_fun.emaxnls	Construct Emax prediction function from model object
emax_logistic	Estimate parameters for a logistic Emax regression model
emax_logistic_init	Construct an initial guess for logistic Emax model parameters
emax_logistic_options	Settings used to estimate a logistic Emax model
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 modelling for Emax regression
emax_scm_backward	Stepwise covariate modelling for Emax regression
emax_scm_forward	Stepwise covariate modelling for Emax regression
emax_scm_history	Stepwise covariate modelling for Emax regression
emax_update	Add or remove a covariate term from an Emax regression
fitted	Fitted values for an Emax regression model
fitted.emaxlogistic	Fitted values for an Emax regression model
fitted.emaxnls	Fitted values for an Emax regression model
logLik	Log-likelihood for an Emax regression model
logLik.emaxlogistic	Log-likelihood for an Emax regression model
logLik.emaxnls	Log-likelihood for an Emax regression model
nobs.emaxnls	Number of observations for an Emax regression model
predict	Predicting from Emax regression models
predict.emaxlogistic	Predicting from Emax regression models
predict.emaxnls	Predicting from Emax regression models
print	Print an Emax regression model object
print.emaxlogistic	Print an Emax regression model object
print.emaxnls	Print an Emax regression model object
residuals	Residuals for an Emax regression model
residuals.emaxlogistic	Residuals for an Emax regression model
residuals.emaxnls	Residuals for an Emax regression model
sigma.emaxnls	Residual standard deviation for an Emax regression model
simulate	Simulate responses from an Emax regression model
simulate.emaxlogistic	Simulate responses from an Emax regression model
simulate.emaxnls	Simulate responses from an Emax regression model
summary	Summary of an Emax regression model
summary.emaxlogistic	Summary of an Emax regression model
summary.emaxnls	Summary of an Emax regression model
vcov.emaxnls	Variance-covariance matrix for an Emax regression