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
breastfeed              Breast feeding decision
ccglm                   fit a CC-estimator for robust generalized
                        linear models
ccglmreg                Fit a penalized CC-estimator
ccglmreg_fit            Internal function for penalized CC-estimators
ccsvm                   fit case weighted support vector machines with
                        robust loss functions
ccsvm_fit               Fit iteratively re-weighted support vector
                        machines for robust loss functions
compute_g               Compute concave function values
compute_wt              Weight value from concave function
conv2glmreg             convert glm object to class glmreg
conv2zipath             convert zeroinfl object to class zipath
cv.ccglmreg             Cross-validation for ccglmreg
cv.ccglmreg_fit         Internal function of cross-validation for
                        ccglmreg
cv.ccsvm                Cross-validation for ccsvm
cv.ccsvm_fit            Internal function of cross-validation for ccsvm
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
docvisits               Doctor visits
estfunReg               Extract Empirical First Derivative of
                        Log-likelihood Function
gfunc                   Convert response value to raw prediction in GLM
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
loss2                   Composite Loss Value
loss2_ccsvm             Composite Loss Value for epsilon-insensitive
                        Type
loss3                   Composite Loss Value for GLM
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                  Optimize a nonconvex loss with regularization
nclreg_fit              Internal function to fitting a nonconvex loss
                        based robust linear model with 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
update_wt               Compute weight value
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
