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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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.