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).
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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)