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: 3.4
Imports: mvtnorm, lqr, quantreg, psych, ald, progress
Published: 2024-07-12
DOI: 10.32614/CRAN.package.qrNLMM
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
In views: MixedModels
CRAN checks: qrNLMM results


Reference manual: qrNLMM.pdf


Package source: qrNLMM_3.4.tar.gz
Windows binaries: r-devel: qrNLMM_3.4.zip, r-release: qrNLMM_3.4.zip, r-oldrel: qrNLMM_3.4.zip
macOS binaries: r-release (arm64): qrNLMM_3.4.tgz, r-oldrel (arm64): qrNLMM_3.4.tgz, r-release (x86_64): qrNLMM_3.4.tgz, r-oldrel (x86_64): qrNLMM_3.4.tgz
Old sources: qrNLMM archive


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