Lasso and Elastic-Net Regularized Generalized Linear Models

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Documentation for package ‘glmnet’ version 4.1-8

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

Help Pages

glmnet-package	Elastic net model paths for some generalized linear models
assess.glmnet	assess performance of a 'glmnet' object using test data.
beta_CVX	Simulated data for the glmnet vignette
bigGlm	fit a glm with all the options in 'glmnet'
BinomialExample	Synthetic dataset with binary response
Cindex	compute C index for a Cox model
coef.cv.glmnet	make predictions from a "cv.glmnet" object.
coef.cv.relaxed	make predictions from a "cv.glmnet" object.
coef.glmnet	Extract coefficients from a glmnet object
coef.relaxed	Extract coefficients from a glmnet object
confusion.glmnet	assess performance of a 'glmnet' object using test data.
cox.fit	Fit a Cox regression model with elastic net regularization for a single value of lambda
cox.path	Fit a Cox regression model with elastic net regularization for a path of lambda values
CoxExample	Synthetic dataset with right-censored survival response
coxgrad	Compute gradient for Cox model
coxnet.deviance	Compute deviance for Cox model
cox_obj_function	Elastic net objective function value for Cox regression model
cv.glmnet	Cross-validation for glmnet
deviance.glmnet	Extract the deviance from a glmnet object
dev_function	Elastic net deviance value
elnet.fit	Solve weighted least squares (WLS) problem for a single lambda value
fid	Helper function for Cox deviance and gradient
get_cox_lambda_max	Get lambda max for Cox regression model
get_eta	Helper function to get etas (linear predictions)
get_start	Get null deviance, starting mu and lambda max
glmnet	fit a GLM with lasso or elasticnet regularization
glmnet.control	internal glmnet parameters
glmnet.fit	Fit a GLM with elastic net regularization for a single value of lambda
glmnet.measures	Display the names of the measures used in CV for different "glmnet" families
glmnet.path	Fit a GLM with elastic net regularization for a path of lambda values
makeX	convert a data frame to a data matrix with one-hot encoding
MultiGaussianExample	Synthetic dataset with multiple Gaussian responses
MultinomialExample	Synthetic dataset with multinomial response
mycoxph	Helper function to fit coxph model for survfit.coxnet
mycoxpred	Helper function to amend ... for new data in survfit.coxnet
na.replace	Replace the missing entries in a matrix columnwise with the entries in a supplied vector
obj_function	Elastic net objective function value
pen_function	Elastic net penalty value
plot.cv.glmnet	plot the cross-validation curve produced by cv.glmnet
plot.cv.relaxed	plot the cross-validation curve produced by cv.glmnet
plot.glmnet	plot coefficients from a "glmnet" object
plot.mrelnet	plot coefficients from a "glmnet" object
plot.multnet	plot coefficients from a "glmnet" object
plot.relaxed	plot coefficients from a "glmnet" object
PoissonExample	Synthetic dataset with count response
predict.coxnet	Extract coefficients from a glmnet object
predict.cv.glmnet	make predictions from a "cv.glmnet" object.
predict.cv.relaxed	make predictions from a "cv.glmnet" object.
predict.elnet	Extract coefficients from a glmnet object
predict.fishnet	Extract coefficients from a glmnet object
predict.glmnet	Extract coefficients from a glmnet object
predict.glmnetfit	Get predictions from a 'glmnetfit' fit object
predict.lognet	Extract coefficients from a glmnet object
predict.mrelnet	Extract coefficients from a glmnet object
predict.multnet	Extract coefficients from a glmnet object
predict.relaxed	Extract coefficients from a glmnet object
print.bigGlm	print a glmnet object
print.cv.glmnet	print a cross-validated glmnet object
print.cv.relaxed	print a cross-validated glmnet object
print.glmnet	print a glmnet object
print.relaxed	print a glmnet object
QuickStartExample	Synthetic dataset with Gaussian response
relax.glmnet	fit a GLM with lasso or elasticnet regularization
response.coxnet	Make response for coxnet
rmult	Generate multinomial samples from a probability matrix
roc.glmnet	assess performance of a 'glmnet' object using test data.
SparseExample	Synthetic dataset with sparse design matrix
stratifySurv	Add strata to a Surv object
survfit.coxnet	Compute a survival curve from a coxnet object
survfit.cv.glmnet	Compute a survival curve from a cv.glmnet object
use.cox.path	Check if glmnet should call cox.path
weighted_mean_sd	Helper function to compute weighted mean and standard deviation
x	Simulated data for the glmnet vignette
y	Simulated data for the glmnet vignette