AIC.glmreg              Methods for mpath Objects
be.zeroinfl             conduct backward stepwise variable elimination
                        for zero inflated count regression
breadReg                Bread for Sandwiches in Regularized Estimators
conv2glmreg             convert glm object to class glmreg
conv2zipath             convert zeroinfl object to class zipath
cv.glmreg               Cross-validation for glmreg
cv.glmregNB             Cross-validation for glmregNB
cv.glmreg_fit           Internal function of cross-validation for
                        glmreg
cv.nclreg               Cross-validation for nclreg
cv.nclreg_fit           Internal function of cross-validation for
                        nclreg
cv.zipath               Cross-validation for zipath
cv.zipath_fit           Cross-validation for zipath
estfunReg               Extract Empirical First Derivative of
                        Log-likelihood Function
glmreg                  fit a GLM with lasso (or elastic net), snet or
                        mnet regularization
glmregNB                fit a negative binomial model with lasso (or
                        elastic net), snet and mnet regularization
glmreg_fit              Internal function to fit a GLM with lasso (or
                        elastic net), snet and mnet regularization
hessianReg              Hessian Matrix of Regularized Estimators
meatReg                 Meat Matrix Estimator
ncl                     fit a nonconvex loss based robust linear model
ncl_fit                 Internal function to fit a nonconvex loss based
                        robust linear model
nclreg                  fit a nonconvex loss based robust linear model
                        with lasso (or elastic net), snet or mnet
                        regularization
nclreg_fit              Internal function to fit a nonconvex loss based
                        robust linear model with lasso (or elastic
                        net), snet and mnet regularization
plot.glmreg             plot coefficients from a "glmreg" object
predict.glmreg          Model predictions based on a fitted "glmreg"
                        object.
predict.zipath          Methods for zipath Objects
pval.zipath             compute p-values from penalized zero-inflated
                        model with multi-split data
rzi                     random number generation of zero-inflated count
                        response
sandwichReg             Making Sandwiches with Bread and Meat for
                        Regularized Estimators
se                      Standard Error of Regularized Estimators
stan                    standardize variables
summary.glmregNB        Summary Method Function for Objects of Class
                        'glmregNB'
tuning.zipath           find optimal path for penalized zero-inflated
                        model
zipath                  Fit zero-inflated count data linear model with
                        lasso (or elastic net), snet or mnet
                        regularization
zipath_fit              Internal function to fit zero-inflated count
                        data linear model with lasso (or elastic net),
                        snet or mnet regularization
