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: 1.2.0
Depends: R (≥ 3.5.0)
Imports: GeneticsPed, SparseM, quantreg, Matrix, kinship2, MCMCglmm, sparsesvd, corpcor
Suggests: MASS
Published: 2020-01-07
Author: Sayyed Reza Alavian[aut,cre] Majid Sarmad[ths] Mehdi Jabbari Nooghabi[ths] Hani Rezaee[ctb] Saeed Zerehdaran[ctb] Ferdowsi University Of Mashhad [cph]
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_1.2.0.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: LRQMM_1.2.0.tgz, r-oldrel: not available
Old sources: LRQMM archive


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