| be_zeroinfl | conduct backward stepwise variable elimination for zero... |
| 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.glmreg_fit | Internal function of cross-validation for glmreg |
| cv.glmregNB | Cross-validation for glmregNB |
| 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... |
| glmreg_fit | Internal function to fit a GLM with lasso (or elastic net),... |
| glmregNB | fit a negative binomial model with lasso (or elastic net),... |
| 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... |
| irsvm | fit case weighted support vector machines with robust loss... |
| irsvm_fit | Fit iteratively reweighted support vector machines for robust... |
| loss2 | Composite Loss Value |
| loss2_ccsvm | Composite Loss Value for epsilon-insensitive Type |
| loss3 | Composite Loss Value for GLM |
| meatReg | Meat Matrix Estimator |
| methods | Methods for mpath Objects |
| mpath-internal | Internal mpath functions |
| ncl | fit a nonconvex loss based robust linear model |
| ncl_fit | Internal function to fit a nonconvex loss based robust linear... |
| nclreg | Optimize a nonconvex loss with regularization |
| nclreg_fit | Internal function to fitting a nonconvex loss based robust... |
| plot.glmreg | plot coefficients from a "glmreg" object |
| predict.glmreg | Model predictions based on a fitted "glmreg" object. |
| predict.zipath | Methods for zipath Objects |
| p_zipath | compute p-values from penalized zero-inflated model with... |
| rzi | random number generation of zero-inflated count response |
| sandwichReg | Making Sandwiches with Bread and Meat for Regularized... |
| 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... |
| zipath_fit | Internal function to fit zero-inflated count data linear... |
