qrLMM: Quantile Regression for Linear Mixed-Effects Models
Quantile regression (QR) for Linear
Mixed-Effects Models via the asymmetric Laplace distribution (ALD).
It uses the Stochastic Approximation of the EM (SAEM) algorithm for
deriving exact maximum likelihood estimates and full inference results
for the fixed-effects and variance components.
It also provides graphical summaries for assessing the algorithm
convergence and fitting results.
| Version: |
2.1 |
| Imports: |
mvtnorm, lqr, quantreg, psych, tcltk, ald |
| Published: |
2020-04-12 |
| Author: |
Christian E. Galarza and Victor H. Lachos |
| Maintainer: |
Christian E. Galarza <cgalarza88 at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
qrLMM results |
Downloads:
Reverse dependencies:
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