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: 3.2
Imports: mvtnorm, lqr, quantreg, psych, ald, progress
Suggests: qrLMM
Published: 2021-11-26
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:

Reference manual: qrNLMM.pdf

Downloads:

Package source: qrNLMM_3.2.tar.gz
Windows binaries: r-devel: qrNLMM_3.2.zip, r-release: qrNLMM_3.1.zip, r-oldrel: qrNLMM_3.1.zip
macOS binaries: r-release (arm64): qrNLMM_3.2.tgz, r-release (x86_64): qrNLMM_3.2.tgz, r-oldrel: qrNLMM_3.2.tgz
Old sources: qrNLMM archive

Reverse dependencies:

Reverse suggests: lqr

Linking:

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