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
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.glmreg               Cross-validation for glmreg
cv.glmregNB             Cross-validation for glmregNB
cv.glmreg_fit           Internal function of cross-validation for
                        glmreg
cv.irglmreg             Cross-validation for irglmreg
cv.irglmreg_fit         Internal function of cross-validation for
                        irglmreg
cv.irsvm                Cross-validation for irsvm
cv.irsvm_fit            Internal function of cross-validation for irsvm
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
irglm                   fit a robust generalized linear models
irglmreg                Fit a robust penalized generalized linear
                        models
irglmreg_fit            Internal function for robust penalized
                        generalized linear models
irsvm                   fit case weighted support vector machines with
                        robust loss functions
irsvm_fit               Fit iteratively reweighted support vector
                        machines for robust loss functions
loss2                   Composite Loss Value
loss2_irsvm             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
