qrNLMM: Quantile Regression for Nonlinear Mixed-Effects Models
Quantile regression (QR) for Nonlinear
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 prediction and graphical summaries for assessing the algorithm
convergence and fitting results.
| Version: |
3.3 |
| Imports: |
mvtnorm, lqr, quantreg, psych, ald, progress |
| Published: |
2022-08-18 |
| 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: |
qrNLMM results |
Documentation:
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