Regularized Linear Models

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Documentation for package ‘mpath’ version 0.4-2.26

• 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