Trevor Hastie
Author or maintainer of the following packages:
customizedTraining
Customized training is a simple technique for transductive
learning, when the test covariates are kn...
dpglasso
fits the primal graphical lasso, via one-at-a-timeblock-coordinate descent.
FLLat
Fits the Fused Lasso Latent Feature model, which is used for modeling multi-sample aCGH data to iden...
gam
Functions for fitting and working with generalized
additive models, as described in chapter 7 of "St...
gamsel
Using overlap grouped lasso penalties, gamsel selects whether a term in a gam is nonzero, linear, or...
glasso
Graphical lasso
glinternet
Group-Lasso INTERaction-NET. Fits linear pairwise-interaction models that satisfy strong hierarchy: ...
glmnet
Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for l...
glmpath
A path-following algorithm for L1 regularized generalizedlinear models and Cox proportional ...
ISLR
The collection of datasets used in the book "An
Introduction to Statistical Learning with Applicatio...
npmr
Fit multinomial logistic regression with a penalty on the nuclear
norm of the estimated regression c...
ProDenICA
A direct and flexible method for estimating an ICA model.
This approach estimates the densities for ...
SGL
Fit a regularized generalized linear model via penalized
maximum likelihood. The model is fit for a...
sparsenet
Sparsenet uses the MC+ penalty of Zhang. It computes the regularization surface over both the family...
stepPlr
L2 penalized logistic regression for both continuous anddiscrete predictors, with forward st...
svmpath
Computes the entire regularization path for the two-classsvm classifier with essentially the...
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Number of Packages
16
Package Downloads
518,260
Citations
310