Regularized Linear Models


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Documentation for package ‘mpath’ version 0.4-2.19

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A B C D E F G H 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 --

ccglm fit a CC-estimator for robust generalized linear models
ccglm.formula fit a CC-estimator for robust generalized linear models
ccglmreg Fit a penalized CC-estimator
ccglmreg.default Fit a penalized CC-estimator
ccglmreg.formula Fit a penalized CC-estimator
ccglmreg.matrix Fit a penalized CC-estimator
ccglmreg_fit Internal function for penalized CC-estimators
ccsvm fit case weighted support vector machines with robust loss functions
ccsvm.default fit case weighted support vector machines with robust loss functions
ccsvm.formula fit case weighted support vector machines with robust loss functions
ccsvm.matrix fit case weighted support vector machines with robust loss functions
ccsvm_fit Fit iteratively re-weighted support vector machines for robust loss functions
coef.ccsvm fit case weighted support vector machines with robust loss functions
coef.cv.ccglmreg Cross-validation for ccglmreg
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
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.ccglmreg Cross-validation for ccglmreg
cv.ccglmreg.default Cross-validation for ccglmreg
cv.ccglmreg.formula Cross-validation for ccglmreg
cv.ccglmreg.matrix Cross-validation for ccglmreg
cv.ccglmreg_fit Internal function of cross-validation for ccglmreg
cv.ccsvm Cross-validation for ccsvm
cv.ccsvm.default Cross-validation for ccsvm
cv.ccsvm.formula Cross-validation for ccsvm
cv.ccsvm.matrix Cross-validation for ccsvm
cv.ccsvm_fit Internal function of cross-validation for ccsvm
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
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

-- 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_ccsvm 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.ccglmreg Cross-validation for ccglmreg
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
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