grf
Generalized Random Forests
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.
- Version2.4.0
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?Yes
- Last release11/15/2024
Documentation
Team
Erik Sverdrup
Marvin Wright
Show author detailsRolesContributorStefan Wager
Show author detailsRolesAuthorJulie Tibshirani
Show author detailsRolesAuthorSusan Athey
Show author detailsRolesAuthorRina Friedberg
Show author detailsRolesContributorVitor Hadad
Show author detailsRolesContributorDavid Hirshberg
Show author detailsRolesContributorLuke Miner
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 6,735 times in the last 30 days. That's a lot of interest! Someone might even write a blog post about it. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 299 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 77,006 times in the last 365 days. An impressive feat! Enough downloads to make even seasoned academics take note. The day with the most downloads was Nov 18, 2024 with 390 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports5 packages
- Suggests5 packages
- Linking To2 packages
- Reverse Imports10 packages
- Reverse Suggests3 packages