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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 561.0 kB | win-64/r-grf-1.1.0-r35h796a38f_0.tar.bz2  5 years and 12 days ago 1046 main cf202003
conda 564.9 kB | win-64/r-grf-1.1.0-r36h796a38f_0.tar.bz2  5 years and 12 days ago 1056 main cf202003
conda 525.5 kB | osx-64/r-grf-1.1.0-r35hc5da6b9_0.tar.bz2  5 years and 12 days ago 348 main cf202003
conda 524.2 kB | osx-64/r-grf-1.1.0-r36hc5da6b9_0.tar.bz2  5 years and 12 days ago 342 main cf202003
conda 569.9 kB | linux-64/r-grf-1.1.0-r36h0357c0b_0.tar.bz2  5 years and 12 days ago 3284 main cf202003
conda 568.2 kB | linux-64/r-grf-1.1.0-r35h0357c0b_0.tar.bz2  5 years and 12 days ago 37773 main cf202003

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