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: | 1.2.1 |
Depends: | R (≥ 3.5.0) |
Imports: | GeneticsPed, SparseM, quantreg, Matrix, kinship2, MCMCglmm, sparsesvd, corpcor |
Suggests: | MASS |
Published: | 2020-02-22 |
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 |
Reference manual: | LRQMM.pdf |
Package source: | LRQMM_1.2.1.tar.gz |
Windows binaries: | r-prerelease: LRQMM_1.2.1.zip, r-release: LRQMM_1.2.1.zip, r-oldrel: LRQMM_1.2.1.zip |
macOS binaries: | r-prerelease: not available, r-release: LRQMM_1.2.1.tgz, r-oldrel: not available |
Old sources: | LRQMM archive |
Please use the canonical form https://CRAN.R-project.org/package=LRQMM to link to this page.