BinomialExample         Synthetic dataset with binary response
Cindex                  compute C index for a Cox model
CoxExample              Synthetic dataset with right-censored survival
                        response
MultiGaussianExample    Synthetic dataset with multiple Gaussian
                        responses
MultinomialExample      Synthetic dataset with multinomial response
PoissonExample          Synthetic dataset with count response
QuickStartExample       Synthetic dataset with Gaussian response
SparseExample           Synthetic dataset with sparse design matrix
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
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
fid                     Helper function for Cox deviance and gradient
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 algorithm 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
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.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
response.coxnet         Make response for coxnet
rmult                   Generate multinomial samples from a probability
                        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
weighted_mean_sd        Helper function to compute weighted mean and
                        standard deviation
