GNU R package for convolution-type smoothed quantile regression


The package offers fast and accurate convolution-type smoothed quantile regression. It is implemented using Barzilai-Borwein gradient descent with a Huber regression warm start. It constructs confidence intervals for regression coefficients using multiplier bootstrap.

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