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) <https://www.jstor.org/stable/2246216>.

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 mail.um.ac.ir>
License: GPL-2 | GPL-3
NeedsCompilation: no
CRAN checks: LRQMM results

Documentation:

Reference manual: LRQMM.pdf

Downloads:

Package source: LRQMM_1.2.3.tar.gz
Windows binaries: r-devel: LRQMM_1.2.3.zip, r-release: LRQMM_1.2.3.zip, r-oldrel: LRQMM_1.2.3.zip
macOS binaries: r-release (arm64): not available, r-release (x86_64): not available, r-oldrel: not available
Old sources: LRQMM archive

Linking:

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