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 |
| Reference manual: | LRQMM.pdf |
| Package source: | LRQMM_1.1.10.tar.gz |
| Windows binaries: | r-devel: LRQMM_1.1.10.zip, r-devel-gcc8: 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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