R: Robust Generalized Linear Models (GLM) using Mixtures

# Robust Generalized Linear Models (GLM) using Mixtures

## Documentation for package ‘robmixglm’ version 1.2-5

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

robmixglm-package | Fits random effects meta-analysis models including robust models
AIC.robmixglm | AIC for robmixglm object
BIC.robmixglm | BIC for robmixglm object
coef | Coefficients for a robmixglm object
coef.robmixglm | Coefficients for a robmixglm object
diabdata | Diabetes data
extractAIC.robmixglm | Extract AIC from a Fitted Model
fitted.robmixglm | Fitted values.
hospcosts | Hospital Costs data
logLik.robmixglm | log Likelikelihood for robmixglm object
outlierProbs | Calculate outlier probabilities for each observation.
outlierProbs.robmixglm | Calculate outlier probabilities for each observation.
outlierTest | Test for the presence of outliers.
outlierTest.robmixglm | Test for the presence of outliers.
plot.outlierProbs | Plot outlier probabilities.
predict.robmixglm | Predict Method for robmixglm
print.outlierTest | Print an outlierTest object
print.summary.outlierTest | Print an outlierTest object
residuals.robmixglm | Extract Model Residuals
robmixglm | Fits a Robust Generalized Linear Model and Variants
summary.outlierTest | Print an outlierTest object
summary.robmixglm | summaryficients for robmixglm object