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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-post-staging / r-grf
Type Size Name Uploaded Downloads Labels
conda 746.0 kB | linux-ppc64le/r-grf-2.2.1-r42he86bb61_0.conda  3 years and 13 days ago 156 main
conda 745.4 kB | linux-ppc64le/r-grf-2.2.1-r41he86bb61_0.conda  3 years and 13 days ago 183 main
conda 699.9 kB | win-64/r-grf-2.2.1-r41ha856d6a_0.conda  3 years and 13 days ago 718 main
conda 717.8 kB | osx-64/r-grf-2.2.1-r41h49197e3_0.conda  3 years and 13 days ago 440 main
conda 718.9 kB | osx-64/r-grf-2.2.1-r42h49197e3_0.conda  3 years and 13 days ago 443 main
conda 735.6 kB | linux-64/r-grf-2.2.1-r41h38f115c_0.conda  3 years and 13 days ago 2479 main
conda 735.9 kB | linux-64/r-grf-2.2.1-r42h38f115c_0.conda  3 years and 13 days ago 2526 main
conda 718.3 kB | linux-aarch64/r-grf-2.2.1-r42hc3d7334_0.conda  3 years and 13 days ago 195 main
conda 718.6 kB | linux-aarch64/r-grf-2.2.1-r41hc3d7334_0.conda  3 years and 13 days ago 203 main

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