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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 298.8 kB | linux-aarch64/r-conquer-1.2.1-r41hc9dd72a_0.tar.bz2  3 years and 10 months ago 82 main
conda 300.8 kB | win-64/r-conquer-1.2.1-r40h01f9f87_0.tar.bz2  3 years and 10 months ago 782 main
conda 346.3 kB | linux-64/r-conquer-1.2.1-r41h6dc32e9_0.tar.bz2  3 years and 10 months ago 5026 main
conda 295.8 kB | win-64/r-conquer-1.2.1-r41h01f9f87_0.tar.bz2  3 years and 10 months ago 863 main
conda 298.7 kB | linux-aarch64/r-conquer-1.2.1-r40hc9dd72a_0.tar.bz2  3 years and 10 months ago 82 main
conda 367.6 kB | osx-64/r-conquer-1.2.1-r40hfc1bc72_0.tar.bz2  3 years and 10 months ago 320 main
conda 284.5 kB | linux-ppc64le/r-conquer-1.2.1-r40hd3f58b3_0.tar.bz2  3 years and 10 months ago 53 main
conda 285.5 kB | linux-ppc64le/r-conquer-1.2.1-r41hd3f58b3_0.tar.bz2  3 years and 10 months ago 54 main
conda 359.6 kB | osx-64/r-conquer-1.2.1-r41hfc1bc72_0.tar.bz2  3 years and 10 months ago 463 main
conda 345.4 kB | linux-64/r-conquer-1.2.1-r40h6dc32e9_0.tar.bz2  3 years and 10 months ago 4604 main

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