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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 543.3 kB | osx-64/r-conquer-1.3.3-r41h6fb8f7f_0.conda  2 years and 11 months ago 1797 main
conda 542.8 kB | osx-64/r-conquer-1.3.3-r42h6fb8f7f_0.conda  2 years and 11 months ago 690 main
conda 439.0 kB | linux-ppc64le/r-conquer-1.3.3-r42h17542eb_0.conda  2 years and 11 months ago 246 main
conda 453.5 kB | linux-aarch64/r-conquer-1.3.3-r41hb5ab779_0.conda  2 years and 11 months ago 260 main
conda 438.3 kB | linux-ppc64le/r-conquer-1.3.3-r41h17542eb_0.conda  2 years and 11 months ago 219 main
conda 453.4 kB | linux-aarch64/r-conquer-1.3.3-r42hb5ab779_0.conda  2 years and 11 months ago 220 main
conda 532.4 kB | linux-64/r-conquer-1.3.3-r41hbf9dc1e_0.conda  2 years and 11 months ago 11909 main
conda 533.1 kB | linux-64/r-conquer-1.3.3-r42hbf9dc1e_0.conda  2 years and 11 months ago 8777 main

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