Trevor Hastie
Author of 29 CRAN packages
Trevor Hastie has completed over 29 packages! The dedication here is off the charts—clearly a coding superstar! Trevor Hastie worked with over 57 collaborators. That's a huge group of developers—almost like a coding festival!
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
- Michal Burdukiewicz
- Johan Larsson
- Jonas Wallin
- Malgorzata Bogdan
- Ewout van den Berg
- Chiara Sabatti
- Emmanuel Candes
- Evan Patterson
- Weijie Su
- Jakub Kała
- Krystyna Grzesiak
- Junyang Qian
- 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