Regularized Linear Models


[Up] [Top]

Documentation for package ‘mpath’ version 0.3-12

Help Pages

AIC.glmreg Methods for mpath Objects
AIC.zipath Methods for mpath Objects
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
coef.cv.glmreg Cross-validation for glmreg
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.zipath Methods for zipath Objects
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.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
deviance.glmreg fit a GLM with lasso (or elastic net), snet or mnet regularization
estfunReg Extract Empirical First Derivative of Log-likelihood Function
estfunReg.zipath Extract Empirical First Derivative of Log-likelihood Function
fitted.zipath Methods for zipath Objects
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
hessianReg Hessian Matrix of Regularized Estimators
logLik.glmreg fit a GLM with lasso (or elastic net), snet or mnet regularization
logLik.zipath Methods for zipath Objects
meatReg Meat Matrix Estimator
model.matrix.zipath Methods for zipath Objects
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 fit a nonconvex loss based robust linear model with lasso (or elastic net), snet or mnet regularization
nclreg.default fit a nonconvex loss based robust linear model with lasso (or elastic net), snet or mnet regularization
nclreg.formula fit a nonconvex loss based robust linear model with lasso (or elastic net), snet or mnet regularization
nclreg.matrix fit a nonconvex loss based robust linear model with lasso (or elastic net), snet or mnet regularization
nclreg_fit Internal function to fit a nonconvex loss based robust linear model with lasso (or elastic net), snet and mnet regularization
ncl_fit Internal function to fit a nonconvex loss based robust linear model
plot.cv.glmreg Cross-validation for glmreg
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
print.zipath Fit zero-inflated count data linear model with lasso (or elastic net), snet or mnet regularization
pval.zipath compute p-values from penalized zero-inflated model with multi-split data
residuals.zipath Methods for zipath Objects
rzi random number generation of zero-inflated count response
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
terms.zipath Methods for zipath Objects
tuning.zipath find optimal path for penalized zero-inflated model
zipath Fit zero-inflated count data linear model with lasso (or elastic net), snet or mnet regularization