Trevor Hastie
Author of 29 CRAN packages
Trevor Hastie has worked on 29 packages, which is nothing short of amazing. Who needs sleep when you've got code to write? Trevor Hastie teamed up with 57 other developers, making this project a gigantic collaborative effort. The coding world is a better place for it!
29 Packages
- ISLRData for an Introduction to Statistical Learning with Applications in R
- ISLR2Introduction to Statistical Learning, Second Edition
- 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
- adelieGroup Lasso and Elastic Net Solver for Generalized Linear Models
- customizedTrainingCustomized Training for Lasso and Elastic-Net Regularized Generalized Linear Models
- earthMultivariate Adaptive Regression Splines
- elasticnetElastic-Net for Sparse Estimation and Sparse PCA
- gamGeneralized Additive Models
- gamselFit Regularization Path for Generalized Additive Models
- glassoGraphical Lasso: Estimation of Gaussian Graphical Models
- glinternetLearning Interactions via Hierarchical Group-Lasso Regularization
- glmnetLasso and Elastic-Net Regularized Generalized Linear Models
- glmpathL1 Regularization Path for Generalized Linear Models and Cox Proportional Hazards Model
- larsLeast Angle Regression, Lasso and Forward Stagewise
- mdaMixture and Flexible Discriminant Analysis
- multiviewCooperative Learning for Multi-View Analysis
- npmrNuclear Penalized Multinomial Regression
- pamrPam: Prediction Analysis for Microarrays
- princurveFit a Principal Curve in Arbitrary Dimension
- rdaShrunken Centroids Regularized Discriminant Analysis
- softImputeMatrix Completion via Iterative Soft-Thresholded SVD
- sparseglSparse Group Lasso
- sparsenetFit Sparse Linear Regression Models via Nonconvex Optimization
- stepPlrL2 Penalized Logistic Regression with Stepwise Variable Selection
- svmpathThe SVM Path Algorithm
- tfS3 Classes and Methods for Tidy Functional Data
Team
- Rob Tibshirani
- Daniela Witten
- Gareth James
- Balasubramanian Narasimhan
- Noah Simon
- Jerome Friedman
- Krystyna Grzesiak
- Emmanuel Candes
- Malgorzata Bogdan
- Weijie Su
- Jonas Wallin
- Michal Burdukiewicz
- Ewout van den Berg
- Johan Larsson
- Evan Patterson
- Chiara Sabatti
- Junyang Qian
- Jakub Kała
- Akarsh Goyal
- Timo Stöcker
- James Yang
- Scott Powers
- Robert Tibshirani
- Thomas Lumley
- Stephen Milborrow
- Alan Miller
- Hui Zou
- Matt Wand
- Vitalie Spinu
- Alexandra Chouldechova
- Michael Lim
- Kenneth Tay
- Mee Young Park
- Brad Efron
- Kurt Hornik
- Brian Ripley
- Friedrich Leisch
- Daisy Yi Ding
- Robert J. Tibshirani
- Gilbert Chu
- Henrik Bengtsson
- Robrecht Cannoodt
- Andreas Weingessel
- Valentin Todorov
- Yaqian Guo
- Rahul Mazumder
- Yi Yang
- Daniel J. McDonald
- Xiaoxuan Liang
- Anibal Solón Heinsfeld
- Aaron Cohen
- Fabian Scheipl
- Maximilian Muecke
- Sebastian Fischer
- Julia Wrobel
- Jeff Goldsmith
- Chen Meng