Package grf updated to version 2.6.1 with previous version 2.6.0 dated 2026-03-03

Wed, 04 Mar 2026 01:02:00 CDT

Title: Generalized Random Forests
Description: Forest-based statistical estimation and inference. GRF provides non-parametric methods for heterogeneous treatment effects estimation (optionally using right-censored outcomes, multiple treatment arms or outcomes, or instrumental variables), as well as least-squares regression, quantile regression, and survival regression, all with support for missing covariates.
Author: Julie Tibshirani [aut], Susan Athey [aut], Rina Friedberg [ctb], Vitor Hadad [ctb], David Hirshberg [ctb], Luke Miner [ctb], Erik Sverdrup [aut, cre], Stefan Wager [aut], Marvin Wright [ctb]
Maintainer: Erik Sverdrup <erik.sverdrup@monash.edu>

Diff between grf versions 2.6.0 dated 2026-03-03 and 2.6.1 dated 2026-03-04

 DESCRIPTION                                                   |    6 ++---
 MD5                                                           |   12 +++++-----
 inst/doc/grf_guide.pdf                                        |binary
 src/src/forest/ForestTrainer.cpp                              |    2 -
 src/src/prediction/collector/DefaultPredictionCollector.cpp   |    2 -
 src/src/prediction/collector/OptimizedPredictionCollector.cpp |    2 -
 src/src/prediction/collector/TreeTraverser.cpp                |    2 -
 7 files changed, 13 insertions(+), 13 deletions(-)

More information about grf at CRAN