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Fast and accurate convolution-type smoothed quantile regression. Implemented using Barzilai-Borwein gradient descent with a Huber regression warm start. Construct confidence intervals for regression coefficients using multiplier bootstrap.

copied from cf-post-staging / r-conquer
Type Size Name Uploaded Downloads Labels
conda 152.6 kB | win-64/r-conquer-1.0.1-r36h796a38f_1.tar.bz2  5 years and 7 months ago 1050 main
conda 152.3 kB | win-64/r-conquer-1.0.1-r40h796a38f_1.tar.bz2  5 years and 7 months ago 1037 main
conda 184.2 kB | osx-64/r-conquer-1.0.1-r40hc5da6b9_1.tar.bz2  5 years and 7 months ago 344 main
conda 184.4 kB | osx-64/r-conquer-1.0.1-r36hc5da6b9_1.tar.bz2  5 years and 7 months ago 342 main
conda 163.4 kB | linux-64/r-conquer-1.0.1-r40h0357c0b_1.tar.bz2  5 years and 7 months ago 3786 main
conda 163.9 kB | linux-64/r-conquer-1.0.1-r36h0357c0b_1.tar.bz2  5 years and 7 months ago 3729 main
conda 152.5 kB | win-64/r-conquer-1.0.1-r36h796a38f_0.tar.bz2  5 years and 7 months ago 1040 main
conda 184.3 kB | osx-64/r-conquer-1.0.1-r36hc5da6b9_0.tar.bz2  5 years and 7 months ago 341 main
conda 163.9 kB | linux-64/r-conquer-1.0.1-r36h0357c0b_0.tar.bz2  5 years and 7 months ago 3727 main

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