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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 485.8 kB | win-64/r-grf-0.10.3-r36h796a38f_1.tar.bz2  6 years and 5 months ago 1400 main cf202003
conda 485.2 kB | win-64/r-grf-0.10.3-r35h796a38f_1.tar.bz2  6 years and 5 months ago 1402 main cf202003
conda 458.3 kB | osx-64/r-grf-0.10.3-r36hf99fc2c_1.tar.bz2  6 years and 5 months ago 377 main cf202003
conda 684.6 kB | osx-64/r-grf-0.10.3-r35hf99fc2c_1.tar.bz2  6 years and 5 months ago 375 main cf202003
conda 507.5 kB | linux-64/r-grf-0.10.3-r36h0357c0b_1.tar.bz2  6 years and 5 months ago 4889 main cf202003
conda 488.8 kB | linux-64/r-grf-0.10.3-r35h0357c0b_1.tar.bz2  6 years and 5 months ago 4554 main cf202003
conda 485.8 kB | win-64/r-grf-0.10.3-r35h6115d3f_0.tar.bz2  6 years and 7 months ago 1474 main cf202003
conda 687.1 kB | osx-64/r-grf-0.10.3-r35hf99fc2c_0.tar.bz2  6 years and 7 months ago 393 main cf202003
conda 493.4 kB | linux-64/r-grf-0.10.3-r35h0357c0b_0.tar.bz2  6 years and 7 months ago 4656 main cf202003

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