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 graphical summaries for assessing the algorithm convergence and fitting results.

Version: 1.4
Imports: matrixcalc, mvtnorm, ghyp, quantreg, psych, tcltk, ald
Suggests: lqr
Published: 2017-03-21
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


Reference manual: qrNLMM.pdf
Package source: qrNLMM_1.4.tar.gz
Windows binaries: r-devel: qrNLMM_1.4.zip, r-release: qrNLMM_1.4.zip, r-oldrel: qrNLMM_1.4.zip
OS X binaries: r-release: qrNLMM_1.4.tgz, r-oldrel: qrNLMM_1.4.tgz
Old sources: qrNLMM archive

Reverse dependencies:

Reverse suggests: lqr


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