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: 1.5.5
Depends: R (≥ 3.0.0)
Imports: stats, utils, nlme (≥ 3.1-124), SparseGrid
Published: 2019-12-13
Author: Marco Geraci
Maintainer: Marco Geraci <geraci at mailbox.sc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: lqmm citation info
Materials: NEWS
In views: Robust
CRAN checks: lqmm results


Reference manual: lqmm.pdf
Package source: lqmm_1.5.5.tar.gz
Windows binaries: r-devel: lqmm_1.5.5.zip, r-devel-UCRT: lqmm_1.5.5.zip, r-release: lqmm_1.5.5.zip, r-oldrel: lqmm_1.5.5.zip
macOS binaries: r-release (arm64): lqmm_1.5.5.tgz, r-release (x86_64): lqmm_1.5.5.tgz, r-oldrel: lqmm_1.5.5.tgz
Old sources: lqmm archive

Reverse dependencies:

Reverse imports: kineticF, nlmm
Reverse suggests: parameters


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