Weight value from concave function
Internal function for penalized CC-estimators
Fit iteratively re-weighted support vector machines for robust loss functions
convert glm object to class glmreg
Cross-validation for ccglmreg
convert zeroinfl object to class zipath
Internal function of cross-validation for ccglmreg
Internal function of cross-validation for glmreg
Cross-validation for glmregNB
Internal function of cross-validation for ccsvm
Cross-validation for glmreg
Cross-validation for ccsvm
Cross-validation for nclreg
Extract Empirical First Derivative of Log-likelihood Function
Cross-validation for zipath
Internal function of cross-validation for nclreg
fit a GLM with lasso (or elastic net), snet or mnet regularization
fit a negative binomial model with lasso (or elastic net), snet and mnet regularization
Hessian Matrix of Regularized Estimators
Internal function to fit a GLM with lasso (or elastic net), snet and mnet regularization
Composite Loss Value for GLM
Meat Matrix Estimator
Composite Loss Value
Composite Loss Value for epsilon-insensitive Type
Convert response value to raw prediction in GLM
Doctor visits
Internal function to fitting a nonconvex loss based robust linear model with regularization
Optimize a nonconvex loss with regularization
Cross-validation for zipath
standardize variables
Standard Error of Regularized Estimators
Internal mpath functions
Methods for mpath Objects
Model predictions based on a fitted "glmreg" object.
random number generation of zero-inflated count response
Internal function to fit a nonconvex loss based robust linear model
plot coefficients from a "glmreg" object
compute p-values from penalized zero-inflated model with multi-split data
fit a nonconvex loss based robust linear model
Methods for zipath Objects
Internal function to fit zero-inflated count data linear model with lasso (or elastic net), snet or mnet regularization
Summary Method Function for Objects of Class 'glmregNB'
find optimal path for penalized zero-inflated model
Fit zero-inflated count data linear model with lasso (or elastic net), snet or mnet regularization
Making Sandwiches with Bread and Meat for Regularized Estimators
Compute weight value
fit a CC-estimator for robust generalized linear models
Breast feeding decision
fit case weighted support vector machines with robust loss functions
conduct backward stepwise variable elimination for zero inflated count regression
Compute concave function values
Bread for Sandwiches in Regularized Estimators
Fit a penalized CC-estimator