LRQMM: Fitting Linear Quantile Regression Mixed Models

Fit a quantile regression mixed model using a sparse implementation of the Frisch-Newton interior-point algorithm as described in Portnoy and Koenker (1977, Statistical Science) <>.

Version: 1.1.10
Depends: R (≥ 3.5.0)
Imports: GeneticsPed, SparseM, MASS, quantreg, Matrix, MasterBayes, MCMCglmm
Published: 2019-09-23
Author: Sayyed Reza Alavian, Majid Sarmad, Mehdi Jabbari Nooghabi.(Ferdowsi University Of Mashhad)
Maintainer: Sayyed Reza Alavian <s.rezaalavian at>
License: GPL-2 | GPL-3
NeedsCompilation: no
CRAN checks: LRQMM results


Reference manual: LRQMM.pdf
Package source: LRQMM_1.1.10.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: LRQMM_1.1.10.tgz, r-oldrel: not available
Old sources: LRQMM archive


Please use the canonical form to link to this page.