Cindex                  compute C index for a Cox model
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'
coef.glmnet             Extract coefficients from a glmnet object
coxgrad                 compute gradient for cox model
coxnet.deviance         compute deviance for cox model output
cv.glmnet               Cross-validation for glmnet
dev_function            Elastic net deviance value
deviance.glmnet         Extract the deviance from a glmnet object
elnet.fit               Solve weighted least squares (WLS) problem for
                        a single lambda value
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-package          Elastic net model paths for some generalized
                        linear models
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
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.glmnet             plot coefficients from a "glmnet" object
predict.cv.glmnet       make predictions from a "cv.glmnet" object.
predict.glmnetfit       Get predictions from a 'glmnetfit' fit object
print.cv.glmnet         print a cross-validated glmnet object
print.glmnet            print a glmnet object
rmult                   Generate multinomial samples from a probability
                        matrix
