Projects

A list of public software projects I have designed or contributed to.

Written by Yuwen Gu

fastkqr

This R packages provides an efficient algorithm to fit and tune kernel quantile regression models based on the majorization-minimization (MM) method. It can also fit multiple quantile curves simultaneously without crossing.

By Qian Tang, Yuwen Gu, and Boxiang Wang in R Package

FHDQR

This R packages fits the penalized quantile regression via fast alternating direction method of multipliers algorithms.

gcdnet

This R package provides a fast coordinate descent algorithm for fitting many types of penalized regressions.

MSTweedie

This R package provides multi-source sparse Tweedie modeling of insurance claim severity data with flexible regularization.

By Simon Fontaine, Yi Yang, Wei Qian, Yuwen Gu, and Bo Fan in R Package GitHub

SALES

This R package fits the penalized asymmetric least squares, i.e., the penalized expectile regression, and its generalizations.