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) <https://www.jstor.org/stable/2246217>.

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

Downloads:

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

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