LRQMM: Fitting Linear Quantile Regression Mixed Models with Relationship Matrix

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

Version: 1.2.3
Depends: R (≥ 3.5.0)
Imports: GeneticsPed, SparseM, quantreg, Matrix, kinship2, MCMCglmm, rsvd, R.matlab, sparsesvd
Suggests: MASS
Published: 2021-10-04
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_1.2.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): LRQMM_1.2.3.tgz, r-oldrel (arm64): not available, r-release (x86_64): LRQMM_1.2.3.tgz, r-oldrel (x86_64): not available
Old sources: LRQMM archive


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