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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 511.9 kB | win-64/r-grf-0.10.4-r36h796a38f_0.tar.bz2  6 years and 16 days ago 1352 main cf202003
conda 511.9 kB | win-64/r-grf-0.10.4-r35h796a38f_0.tar.bz2  6 years and 16 days ago 1342 main cf202003
conda 483.1 kB | osx-64/r-grf-0.10.4-r36hf99fc2c_0.tar.bz2  6 years and 16 days ago 374 main cf202003
conda 480.9 kB | osx-64/r-grf-0.10.4-r35hf99fc2c_0.tar.bz2  6 years and 16 days ago 383 main cf202003
conda 522.5 kB | linux-64/r-grf-0.10.4-r36h0357c0b_0.tar.bz2  6 years and 16 days ago 4323 main cf202003
conda 510.8 kB | linux-64/r-grf-0.10.4-r35h0357c0b_0.tar.bz2  6 years and 16 days ago 4316 main cf202003

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