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cran
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.
Maintained by Erik Sverdrup. Last updated 5 months ago.
3.47 score 15 dependents
lorismichel
drf:Distributional Random Forests
An implementation of distributional random forests as introduced in Cevid & Michel & Meinshausen & Buhlmann (2020) <arXiv:2005.14458>.
Maintained by Loris Michel. Last updated 4 years ago.
1.59 score 39 scripts