Quick info
Robert Tibshirani has worked on 13 packages so far. In total, Robert Tibshirani has worked with 18 other authors on those packages. Impressive teamwork!
Packages overview
Package details
| FLLat | Fused Lasso Latent Feature Model Gen Nowak , Trevor Hastie , Jonathan R. Pollack , Robert Tibshirani , Nicholas Johnson |
| acepack | ACE and AVAS for Selecting Multiple Regression Transformations Phil Spector , Jerome Friedman , Robert Tibshirani , Thomas Lumley , Shawn Garbett , Jonathan Baron |
| clogitL1 | Fitting Exact Conditional Logistic Regression with Lasso and Elastic Net Penalties Stephen Reid , Robert Tibshirani |
| compHclust | Complementary Hierarchical Clustering |
| customizedTraining | Customized Training for Lasso and Elastic-Net Regularized Generalized Linear Models Scott Powers , Trevor Hastie , Robert Tibshirani |
| lpc | Lassoed Principal Components for Testing Significance of Features Daniela M Witten , Robert Tibshirani |
| neariso | Near-Isotonic Regression Holger Hoefling , Ryan Tibshirani , Robert Tibshirani |
| npmr | Nuclear Penalized Multinomial Regression Scott Powers , Trevor Hastie , Robert Tibshirani |
| pcLasso | Principal Components Lasso Jerome Friedman , Kenneth Tay , Robert Tibshirani |
| rda | Shrunken Centroids Regularized Discriminant Analysis Yaqian Guo , Trevor Hastie , Robert Tibshirani , Valentin Todorov |
| relgam | Reluctant Generalized Additive Models Kenneth Tay , Robert Tibshirani |
| scout | Implements the Scout Method for Covariance-Regularized Regression Daniela M. Witten , Robert Tibshirani |
| sparcl | Perform Sparse Hierarchical Clustering and Sparse K-Means Clustering Daniela M. Witten , Robert Tibshirani |