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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).

copied from cf-staging / r-grf
Type Size Name Uploaded Downloads Labels
conda 703.9 kB | win-64/r-grf-2.3.1-r41ha856d6a_0.conda  1 year and 1 month ago 245 main
conda 724.7 kB | osx-64/r-grf-2.3.1-r43hac7d2d5_0.conda  1 year and 1 month ago 140 main
conda 751.4 kB | linux-ppc64le/r-grf-2.3.1-r43hd301276_0.conda  1 year and 1 month ago 73 main
conda 728.1 kB | osx-64/r-grf-2.3.1-r42hac7d2d5_0.conda  1 year and 1 month ago 155 main
conda 755.1 kB | linux-ppc64le/r-grf-2.3.1-r42hd301276_0.conda  1 year and 1 month ago 60 main
conda 741.9 kB | linux-64/r-grf-2.3.1-r43ha503ecb_0.conda  1 year and 1 month ago 976 main
conda 724.1 kB | linux-aarch64/r-grf-2.3.1-r43ha6e910b_0.conda  1 year and 1 month ago 87 main
conda 728.8 kB | linux-aarch64/r-grf-2.3.1-r42ha6e910b_0.conda  1 year and 1 month ago 81 main
conda 746.2 kB | linux-64/r-grf-2.3.1-r42ha503ecb_0.conda  1 year and 1 month ago 947 main

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