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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 457.8 kB | win-64/r-conquer-1.3.2-r41h56ffbbb_0.conda  3 years and 20 days ago 689 main
conda 502.0 kB | osx-arm64/r-conquer-1.3.2-r41hc33b485_0.conda  3 years and 20 days ago 391 main
conda 530.8 kB | osx-64/r-conquer-1.3.2-r42h6fb8f7f_0.conda  3 years and 20 days ago 357 main
conda 502.2 kB | osx-arm64/r-conquer-1.3.2-r42hc33b485_0.conda  3 years and 20 days ago 403 main
conda 531.5 kB | osx-64/r-conquer-1.3.2-r41h6fb8f7f_0.conda  3 years and 20 days ago 315 main
conda 445.1 kB | linux-aarch64/r-conquer-1.3.2-r42hb5ab779_0.conda  3 years and 20 days ago 177 main
conda 427.3 kB | linux-ppc64le/r-conquer-1.3.2-r41h17542eb_0.conda  3 years and 20 days ago 171 main
conda 426.7 kB | linux-ppc64le/r-conquer-1.3.2-r42h17542eb_0.conda  3 years and 20 days ago 139 main
conda 444.9 kB | linux-aarch64/r-conquer-1.3.2-r41hb5ab779_0.conda  3 years and 20 days ago 181 main
conda 523.7 kB | linux-64/r-conquer-1.3.2-r42hbf9dc1e_0.conda  3 years and 20 days ago 3995 main
conda 525.3 kB | linux-64/r-conquer-1.3.2-r41hbf9dc1e_0.conda  3 years and 20 days ago 2992 main

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