grf

Generalized Random Forests

A pluggable package for forest-based statistical estimation and inference. GRF currently provides methods for non-parametric least-squares regression, quantile regression, and treatment effect estimation (optionally using instrumental variables).

Total

23,779

Last month

2,373

Last week

795

Average per day

79

Daily downloads

Total downloads

Description file content

Package
grf
Title
Generalized Random Forests
Version
1.0.1
BugReports
https://github.com/grf-labs/grf/issues
Description
A pluggable package for forest-based statistical estimation and inference. GRF currently provides methods for non-parametric least-squares regression, quantile regression, and treatment effect estimation (optionally using instrumental variables).
Depends
R (>= 3.5.0)
License
GPL-3
LinkingTo
Rcpp, RcppEigen
Imports
DiceKriging, lmtest, Matrix, methods, Rcpp (>= 0.12.15), sandwich (>= 2.4-0)
RoxygenNote
7.0.1
Suggests
DiagrammeR, testthat
SystemRequirements
GNU make
URL
NeedsCompilation
yes
Packaged
2019-12-06 01:36:33 UTC; erik
Author
Julie Tibshirani [aut, cre], Susan Athey [aut], Rina Friedberg [ctb], Vitor Hadad [ctb], David Hirshberg [ctb], Luke Miner [ctb], Erik Sverdrup [ctb], Stefan Wager [aut], Marvin Wright [ctb]
Maintainer
Julie Tibshirani
Repository
CRAN
Date/Publication
2019-12-06 09:10:02 UTC

install.packages('grf')

1.0.1

9 days ago

https://github.com/grf-labs/grf

Julie Tibshirani

GPL-3

Depends on

R (>= 3.5.0)

Imports

DiceKriging, lmtest, Matrix, methods, Rcpp (>= 0.12.15), sandwich (>= 2.4-0)

Suggests

DiagrammeR, testthat

Discussions