# Regularized Linear Models

## Documentation for package ‘mpath’ version 0.4-2.27

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

A B C D E F G H I L M N P R S T U Z

## -- A --

AIC.glmreg | Methods for mpath Objects
AIC.zipath | Methods for mpath Objects

## -- B --

be.zeroinfl | conduct backward stepwise variable elimination for zero inflated count regression
BIC.glmreg | Methods for mpath Objects
BIC.zipath | Methods for mpath Objects
breadReg | Bread for Sandwiches in Regularized Estimators
breadReg.zipath | Bread for Sandwiches in Regularized Estimators
breastfeed | Breast feeding decision

## -- C --

coef.cv.glmreg | Cross-validation for glmreg
coef.cv.irglmreg | Cross-validation for irglmreg
coef.cv.nclreg | Cross-validation for nclreg
coef.cv.zipath | Cross-validation for zipath
coef.glmreg | Model predictions based on a fitted "glmreg" object.
coef.irsvm | fit case weighted support vector machines with robust loss functions
coef.zipath | Methods for zipath Objects
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.default | Cross-validation for glmreg
cv.glmreg.formula | Cross-validation for glmreg
cv.glmreg.matrix | 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.default | Cross-validation for irglmreg
cv.irglmreg.formula | Cross-validation for irglmreg
cv.irglmreg.matrix | Cross-validation for irglmreg
cv.irglmreg_fit | Internal function of cross-validation for irglmreg
cv.irsvm | Cross-validation for irsvm
cv.irsvm.default | Cross-validation for irsvm
cv.irsvm.formula | Cross-validation for irsvm
cv.irsvm.matrix | Cross-validation for irsvm
cv.irsvm_fit | Internal function of cross-validation for irsvm
cv.nclreg | Cross-validation for nclreg
cv.nclreg.default | Cross-validation for nclreg
cv.nclreg.formula | Cross-validation for nclreg
cv.nclreg.matrix | Cross-validation for nclreg
cv.nclreg_fit | Internal function of cross-validation for nclreg
cv.zipath | Cross-validation for zipath
cv.zipath.default | Cross-validation for zipath
cv.zipath.formula | Cross-validation for zipath
cv.zipath.matrix | Cross-validation for zipath
cv.zipath_fit | Cross-validation for zipath

## -- D --

deviance.glmreg | fit a GLM with lasso (or elastic net), snet or mnet regularization
docvisits | Doctor visits

## -- E --

estfunReg | Extract Empirical First Derivative of Log-likelihood Function
estfunReg.zipath | Extract Empirical First Derivative of Log-likelihood Function

## -- F --

fitted.zipath | Methods for zipath Objects

## -- G --

gfunc | Convert response value to raw prediction in GLM
glmreg | fit a GLM with lasso (or elastic net), snet or mnet regularization
glmreg.default | fit a GLM with lasso (or elastic net), snet or mnet regularization
glmreg.formula | fit a GLM with lasso (or elastic net), snet or mnet regularization
glmreg.matrix | 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
glmregNegbin | 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

## -- H --

hessianReg | Hessian Matrix of Regularized Estimators

## -- I --

irglm | fit a robust generalized linear models
irglm.formula | fit a robust generalized linear models
irglmreg | Fit a robust penalized generalized linear models
irglmreg.default | Fit a robust penalized generalized linear models
irglmreg.formula | Fit a robust penalized generalized linear models
irglmreg.matrix | 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.default | fit case weighted support vector machines with robust loss functions
irsvm.formula | fit case weighted support vector machines with robust loss functions
irsvm.matrix | fit case weighted support vector machines with robust loss functions
irsvm_fit | Fit iteratively reweighted support vector machines for robust loss functions

## -- L --

logLik.glmreg | fit a GLM with lasso (or elastic net), snet or mnet regularization
logLik.zipath | Methods for zipath Objects
loss2 | Composite Loss Value
loss2_irsvm | Composite Loss Value for epsilon-insensitive Type
loss3 | Composite Loss Value for GLM

## -- M --

meatReg | Meat Matrix Estimator
model.matrix.zipath | Methods for zipath Objects

## -- N --

ncl | fit a nonconvex loss based robust linear model
ncl.default | fit a nonconvex loss based robust linear model
ncl.formula | fit a nonconvex loss based robust linear model
ncl.matrix | fit a nonconvex loss based robust linear model
nclreg | Optimize a nonconvex loss with regularization
nclreg.default | Optimize a nonconvex loss with regularization
nclreg.formula | Optimize a nonconvex loss with regularization
nclreg.matrix | Optimize a nonconvex loss with regularization
nclreg_fit | Internal function to fitting a nonconvex loss based robust linear model with regularization
ncl_fit | Internal function to fit a nonconvex loss based robust linear model

## -- P --

plot.cv.glmreg | Cross-validation for glmreg
plot.cv.irglmreg | Cross-validation for irglmreg
plot.cv.nclreg | Cross-validation for nclreg
plot.glmreg | plot coefficients from a "glmreg" object
predict.cv.glmreg | Cross-validation for glmreg
predict.cv.zipath | Cross-validation for zipath
predict.glmreg | Model predictions based on a fitted "glmreg" object.
predict.zipath | Methods for zipath Objects
predprob.zipath | Methods for zipath Objects
print.summary.glmregNB | Summary Method Function for Objects of Class 'glmregNB'
print.summary.zipath | Methods for zipath Objects
pval.zipath | compute p-values from penalized zero-inflated model with multi-split data

## -- R --

residuals.zipath | Methods for zipath Objects
rzi | random number generation of zero-inflated count response

## -- S --

sandwichReg | Making Sandwiches with Bread and Meat for Regularized Estimators
se | Standard Error of Regularized Estimators
se.zipath | Standard Error of Regularized Estimators
stan | standardize variables
summary.glmregNB | Summary Method Function for Objects of Class 'glmregNB'
summary.zipath | Methods for zipath Objects

## -- T --

terms.zipath | Methods for zipath Objects
tuning.zipath | find optimal path for penalized zero-inflated model

## -- U --

update_wt | Compute weight value

## -- Z --

zipath | Fit zero-inflated count data linear model with lasso (or elastic net), snet or mnet regularization
zipath.default | Fit zero-inflated count data linear model with lasso (or elastic net), snet or mnet regularization
zipath.formula | Fit zero-inflated count data linear model with lasso (or elastic net), snet or mnet regularization
zipath.matrix | 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