Packages by Trevor Hastie

ISLR — 1.4

Data for an Introduction to Statistical Learning with Applications in R

ISLR2 — 1.3-2

Introduction to Statistical Learning, Second Edition

ProDenICA — 1.1

Product Density Estimation for ICA using Tilted Gaussian Density Estimates

adelie — 1.0.2

Group Lasso and Elastic Net Solver for Generalized Linear Models

gam — 1.22-5

Generalized Additive Models

gamsel — 1.8-5

Fit Regularization Path for Generalized Additive Models

glmnet — 4.1-8

Lasso and Elastic-Net Regularized Generalized Linear Models

lars — 1.3

Least Angle Regression, Lasso and Forward Stagewise

mda — 0.5-5

Mixture and Flexible Discriminant Analysis

softImpute — 1.4-1

Matrix Completion via Iterative Soft-Thresholded SVD

sparsenet — 1.7

Fit Sparse Linear Regression Models via Nonconvex Optimization

svmpath — 0.970

The SVM Path Algorithm