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spack.io : r-conquer
Convolution-Type Smoothed Quantile Regression. 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.
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purl: pkg:spack/r-conquer
License: Other
Latest release: about 1 year ago
First release: about 2 years ago
Dependent packages: 1
Last synced: 4 days ago
Top 4.9% on spack.io
12 versions - Latest release: about 2 years ago - 6 dependent packages - 1 maintainer
r-quantreg 5.42.1
Quantile Regression. Estimation and inference methods for models of conditional quantiles: Linear...12 versions - Latest release: about 2 years ago - 6 dependent packages - 1 maintainer