qrNLMM: Quantile Regression for Nonlinear Mixed-Effects Models (original) (raw)

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 result is for the fixed-effects and variance components. It also provides prediction and graphical summaries for assessing the algorithm convergence and fitting results.

Version: 4.0
Imports: mvtnorm, lqr, quantreg, psych, ald, progress
Published: 2025-05-21
DOI: 10.32614/CRAN.package.qrNLMM
Author: Christian E. Galarza [aut, cre], Victor H. Lachos [aut]
Maintainer: Christian E. Galarza
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: MixedModels
CRAN checks: qrNLMM results

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