Packages by Trevor Hastie

ISLR — 1.2

Data for an Introduction to Statistical Learning with Applications in R

ProDenICA — 1.0

Product Density Estimation for ICA using tilted Gaussian density estimates

gam — 1.16.1

Generalized Additive Models

gamsel — 1.8-1

Fit Regularization Path for Generalized Additive Models

glmnet — 2.0-18

Lasso and Elastic-Net Regularized Generalized Linear Models

lars — 1.2

Least Angle Regression, Lasso and Forward Stagewise

mda — 0.4-10

Mixture and Flexible Discriminant Analysis

softImpute — 1.4

Matrix Completion via Iterative Soft-Thresholded SVD

sparsenet — 1.3

Fit Sparse Linear Regression Models via Nonconvex Optimization

svmpath — 0.955

The SVM Path Algorithm