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.
A list of public software projects I have designed or contributed to.
Written by Yuwen Gu
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.
This R packages fits the penalized quantile regression via fast alternating direction method of multipliers algorithms.
This R package provides a fast coordinate descent algorithm for fitting many types of penalized regressions.
This R package provides multi-source sparse Tweedie modeling of insurance claim severity data with flexible regularization.
This R package fits the penalized asymmetric least squares, i.e., the penalized expectile regression, and its generalizations.