hastie@stanford.edu


Packages by Trevor Hastie

ISLR — 1.1

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 — 1.14-4

Generalized Additive Models

gamsel — 1.8-0

Fit Regularization Path for Generalized Additive Models

glmnet — 2.0-10

Lasso and Elastic-Net Regularized Generalized Linear Models

lars — 1.2

Least Angle Regression, Lasso and Forward Stagewise

mda — 0.4-9

Mixture and Flexible Discriminant Analysis

softImpute — 1.4

Matrix Completion via Iterative Soft-Thresholded SVD

sparsenet — 1.2

Fit sparse linear regression models via nonconvex optimization

svmpath — 0.955

The SVM Path Algorithm