lqmm: Linear Quantile Mixed Models (original) (raw)
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: | |
| In views: | MixedModels, Robust |
| CRAN checks: | lqmm results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=lqmmto link to this page.