Package: LRQMM
Type: Package
Title: Fitting Linear Quantile Regression Mixed Models
Version: 1.2.1
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@mail.um.ac.ir>
Description: 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>.
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: GeneticsPed, SparseM, quantreg, Matrix, kinship2, MCMCglmm,
        sparsesvd, corpcor
Suggests: MASS
NeedsCompilation: no
Packaged: 2020-02-22 08:40:37 UTC; REZA
Repository: CRAN
Date/Publication: 2020-02-22 09:10:02 UTC
