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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 157.0 kB | osx-64/r-conquer-1.0.2-r40h710217c_0.tar.bz2  5 years and 6 months ago 343 main
conda 143.5 kB | linux-64/r-conquer-1.0.2-r36h0357c0b_0.tar.bz2  5 years and 6 months ago 3519 main
conda 142.8 kB | linux-64/r-conquer-1.0.2-r40h0357c0b_0.tar.bz2  5 years and 6 months ago 3678 main

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