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conda-forge / packages / r-conquer

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

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Type Size Name Uploaded Downloads Labels
conda 457.8 kB | win-64/r-conquer-1.3.2-r41h56ffbbb_0.conda  2 years and 7 months ago 672 main
conda 502.0 kB | osx-arm64/r-conquer-1.3.2-r41hc33b485_0.conda  2 years and 7 months ago 376 main
conda 530.8 kB | osx-64/r-conquer-1.3.2-r42h6fb8f7f_0.conda  2 years and 7 months ago 341 main
conda 502.2 kB | osx-arm64/r-conquer-1.3.2-r42hc33b485_0.conda  2 years and 7 months ago 391 main
conda 531.5 kB | osx-64/r-conquer-1.3.2-r41h6fb8f7f_0.conda  2 years and 7 months ago 299 main
conda 445.1 kB | linux-aarch64/r-conquer-1.3.2-r42hb5ab779_0.conda  2 years and 7 months ago 164 main
conda 427.3 kB | linux-ppc64le/r-conquer-1.3.2-r41h17542eb_0.conda  2 years and 7 months ago 169 main
conda 426.7 kB | linux-ppc64le/r-conquer-1.3.2-r42h17542eb_0.conda  2 years and 7 months ago 138 main
conda 444.9 kB | linux-aarch64/r-conquer-1.3.2-r41hb5ab779_0.conda  2 years and 7 months ago 167 main
conda 523.7 kB | linux-64/r-conquer-1.3.2-r42hbf9dc1e_0.conda  2 years and 7 months ago 3673 main
conda 525.3 kB | linux-64/r-conquer-1.3.2-r41hbf9dc1e_0.conda  2 years and 7 months ago 2680 main
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