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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 524.5 kB | win-64/r-grf-1.0.1-r36h796a38f_0.tar.bz2  6 years and 21 days ago 1242 main cf202003
conda 524.6 kB | win-64/r-grf-1.0.1-r35h796a38f_0.tar.bz2  6 years and 21 days ago 1211 main cf202003
conda 499.8 kB | osx-64/r-grf-1.0.1-r35hc5da6b9_0.tar.bz2  6 years and 21 days ago 374 main cf202003
conda 501.7 kB | osx-64/r-grf-1.0.1-r36hc5da6b9_0.tar.bz2  6 years and 21 days ago 387 main cf202003
conda 523.6 kB | linux-64/r-grf-1.0.1-r36h0357c0b_0.tar.bz2  6 years and 21 days ago 4270 main cf202003
conda 542.5 kB | linux-64/r-grf-1.0.1-r35h0357c0b_0.tar.bz2  6 years and 21 days ago 4054 main cf202003

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