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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 |
| 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 |
| Reference manual: | lqmm.pdf |
| 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 imports: | BeQut, nlmm |
| Reverse suggests: | cheem, parameters, robustlmm |
| Reverse enhances: | texreg |
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