lqmm: Linear Quantile Mixed Models

Functions to fit quantile regression models for hierarchical data (2-level nested designs) as described in Geraci and Bottai (2014, Statistics and Computing) <doi:10.1007/s11222-013-9381-9>. A vignette is given in Geraci (2014, Journal of Statistical Software) <doi:10.18637/jss.v057.i13> and included in the package documents. The packages also provides functions to fit quantile models for independent data and for count responses.

Version:	1.5.8
Depends:	R (≥ 3.0.0)
Imports:	stats, utils, nlme (≥ 3.1-124), SparseGrid
Published:	2022-04-06
DOI:	10.32614/CRAN.package.lqmm
Author:	Marco Geraci
Maintainer:	Marco Geraci <marco.geraci at uniroma1.it>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
Citation:	lqmm citation info
Materials:	NEWS
In views:	MixedModels, Robust
CRAN checks:	lqmm results

Documentation:

Reference manual:

lqmm.html , lqmm.pdf

Downloads:

Package source:	lqmm_1.5.8.tar.gz
Windows binaries:	r-devel: lqmm_1.5.8.zip, r-release: lqmm_1.5.8.zip, r-oldrel: lqmm_1.5.8.zip
macOS binaries:	r-release (arm64): lqmm_1.5.8.tgz, r-oldrel (arm64): lqmm_1.5.8.tgz, r-release (x86_64): lqmm_1.5.8.tgz, r-oldrel (x86_64): lqmm_1.5.8.tgz
Old sources:	lqmm archive

Reverse dependencies:

Reverse imports:	BeQut, nlmm
Reverse suggests:	parameters, robustlmm
Reverse enhances:	texreg

Linking:

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