Rob Tibshirani
Author of 16 CRAN packages
Rob Tibshirani has put out 16 packages—clearly, they're unstoppable. Keep those packages coming! Rob Tibshirani has collaborated with a whopping 38 other authors. It's basically a small army of coders! Who knew package development could be such a social event?
16 Packages
- ISLRData for an Introduction to Statistical Learning with Applications in R
- ISLR2Introduction to Statistical Learning, Second Edition
- PMAPenalized Multivariate Analysis
- ProDenICAProduct Density Estimation for ICA using Tilted Gaussian Density Estimates
- SGLFit a GLM (or Cox Model) with a Combination of Lasso and Group Lasso Regularization
- SLOPESorted L1 Penalized Estimation
- TrioSGLTrio Model with a Combination of Lasso and Group Lasso Regularization
- clusterReproReproducibility of Gene Expression Clusters
- glassoGraphical Lasso
- glmnetLasso and Elastic-Net Regularized Generalized Linear Models
- hierNetA Lasso for Hierarchical Interactions
- protoclustHierarchical Clustering with Prototypes
- selectiveInferenceTools for Post-Selection Inference
- sparseglSparse Group Lasso
- spcovSparse Estimation of a Covariance Matrix
- superpcSupervised Principal Components
Team
- Gareth James
- Daniela Witten
- Trevor Hastie
- Balasubramanian Narasimhan
- Sam Gross
- Noah Simon
- Jerome Friedman
- Johan Larsson
- Jonas Wallin
- Malgorzata Bogdan
- Ewout van den Berg
- Chiara Sabatti
- Emmanuel Candes
- Evan Patterson
- Weijie Su
- Jakub Kała
- Krystyna Grzesiak
- Michal Burdukiewicz
- Junyang Qian
- Akarsh Goyal
- Timo Stöcker
- Amy Kapp
- Kenneth Tay
- James Yang
- Jacob Bien
- Ryan Tibshirani
- Jonathan Taylor
- Joshua Loftus
- Stephen Reid
- Jelena Markovic
- Daniel J. McDonald
- Xiaoxuan Liang
- Anibal Solón Heinsfeld
- Aaron Cohen
- Yi Yang
- Hui Zou
- Eric Bair
- Jean-Eudes Dazard