Quick info
Rob Tibshirani has worked on 16 packages so far. In total, Rob Tibshirani has worked with 38 other authors on those packages. Impressive teamwork!
Packages overview
Package details
| ISLR | Data for an Introduction to Statistical Learning with Applications in R Gareth James , Daniela Witten , Trevor Hastie , Rob Tibshirani |
| ISLR2 | Introduction to Statistical Learning, Second Edition Gareth James , Daniela Witten , Trevor Hastie , Rob Tibshirani , Balasubramanian Narasimhan |
| PMA | Penalized Multivariate Analysis Daniela Witten , Rob Tibshirani , Sam Gross , Balasubramanian Narasimhan |
| ProDenICA | Product Density Estimation for ICA using Tilted Gaussian Density Estimates Trevor Hastie , Rob Tibshirani |
| SGL | Fit a GLM (or Cox Model) with a Combination of Lasso and Group Lasso Regularization Noah Simon , Jerome Friedman , Trevor Hastie , Rob Tibshirani |
| SLOPE | Sorted L1 Penalized Estimation Johan Larsson , Jonas Wallin , Malgorzata Bogdan , Ewout van den Berg , Chiara Sabatti , Emmanuel Candes , Evan Patterson , Weijie Su , Jakub Kała , Krystyna Grzesiak , Michal Burdukiewicz , Jerome Friedman , Trevor Hastie , Rob Tibshirani , Balasubramanian Narasimhan , Noah Simon , Junyang Qian , Akarsh Goyal |
| TrioSGL | Trio Model with a Combination of Lasso and Group Lasso Regularization Timo Stöcker , Noah Simon , Jerome Friedman , Trevor Hastie , Rob Tibshirani |
| clusterRepro | Reproducibility of Gene Expression Clusters |
| glasso | Graphical Lasso Jerome Friedman , Trevor Hastie , Rob Tibshirani |
| glmnet | Lasso and Elastic-Net Regularized Generalized Linear Models Jerome Friedman , Trevor Hastie , Rob Tibshirani , Balasubramanian Narasimhan , Kenneth Tay , Noah Simon , Junyang Qian , James Yang |
| hierNet | A Lasso for Hierarchical Interactions |
| protoclust | Hierarchical Clustering with Prototypes |
| selectiveInference | Tools for Post-Selection Inference Ryan Tibshirani , Rob Tibshirani , Jonathan Taylor , Joshua Loftus , Stephen Reid , Jelena Markovic |
| sparsegl | Sparse Group Lasso Daniel J. McDonald , Xiaoxuan Liang , Anibal Solón Heinsfeld , Aaron Cohen , Yi Yang , Hui Zou , Jerome Friedman , Trevor Hastie , Rob Tibshirani , Balasubramanian Narasimhan , Kenneth Tay , Noah Simon , Junyang Qian , James Yang |
| spcov | Sparse Estimation of a Covariance Matrix |
| superpc | Supervised Principal Components Eric Bair , Jean-Eudes Dazard , Rob Tibshirani |