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 |
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