Quick info
Hemant Ishwaran has worked on 9 packages so far. In total, Hemant Ishwaran has worked with 15 other authors on those packages. Impressive teamwork!
Packages overview
Package details
| BoostMLR | Boosting for Multivariate Longitudinal Responses |
| CovRegRF | Covariance Regression with Random Forests Cansu Alakus , Denis Larocque , Aurelie Labbe , Hemant Ishwaran , Udaya B. Kogalur , Intel Corporation , Keita Teranishi |
| RFCCA | Random Forest with Canonical Correlation Analysis Cansu Alakus , Denis Larocque , Aurelie Labbe , Hemant Ishwaran , Udaya B. Kogalur , Intel Corporation , Keita Teranishi |
| RFpredInterval | Prediction Intervals with Random Forests and Boosted Forests Cansu Alakus , Denis Larocque , Aurelie Labbe , Hemant Ishwaran , Udaya B. Kogalur |
| boostmtree | Boosted Multivariate Trees for Longitudinal Data |
| l2boost | Exploring Friedman's Boosting Algorithm for Regularized Linear Regression John Ehrlinger , Hemant Ishwaran |
| pmml | Generate PMML for Various Models Dmitriy Bolotov , Tridivesh Jena , Graham Williams , Wen-Ching Lin , Michael Hahsler , Hemant Ishwaran , Udaya B. Kogalur , Rajarshi Guha , Software AG |
| randomForestSRC | Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC) Hemant Ishwaran , Udaya B. Kogalur |
| spikeslab | Prediction and Variable Selection Using Spike and Slab Regression |