grf
Generalized Random Forests (Beta)
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). This package is currently in beta, and we expect to make continual improvements to its performance and usability.
Total
20,367
Last month
2,062
Last week
539
Average per day
69
Daily downloads
Total downloads
Description file content
- Package
- grf
- Title
- Generalized Random Forests (Beta)
- Version
- 0.10.2
- Author
- Julie Tibshirani [aut, cre], Susan Athey [aut], Stefan Wager [aut], Rina Friedberg [ctb], Luke Miner [ctb], Marvin Wright [ctb]
- BugReports
- https://github.com/grf-labs/grf/issues
- Maintainer
- Julie Tibshirani
- 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). This package is currently in beta, and we expect to make continual improvements to its performance and usability.
- Depends
- R (>= 3.3.0)
- License
- GPL-3
- LinkingTo
- Rcpp, RcppEigen
- Imports
- DiagrammeR, DiceKriging, lmtest, Matrix, methods, Rcpp (>= 0.12.15), sandwich (>= 2.4-0)
- RoxygenNote
- 6.1.1
- Suggests
- testthat
- SystemRequirements
- GNU make
- URL
- NeedsCompilation
- yes
- Packaged
- 2018-11-24 03:10:42 UTC; jtibshirani
- Repository
- CRAN
- Date/Publication
- 2018-11-24 05:20:03 UTC
install.packages('grf')
0.10.2
3 months ago
https://github.com/grf-labs/grf
Julie Tibshirani
GPL-3
Depends on
R (>= 3.3.0)
Imports
DiagrammeR, DiceKriging, lmtest, Matrix, methods, Rcpp (>= 0.12.15), sandwich (>= 2.4-0)