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... |
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