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.

AuthorChristian E. Galarza <cgalarza88@gmail.com> and Victor H. Lachos <hlachos@ime.unicamp.br>
Date of publication2017-03-21 21:13:39 UTC
MaintainerChristian E. Galarza <cgalarza88@gmail.com>
LicenseGPL (>= 2)
Version1.4

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Files

qrNLMM
qrNLMM/NAMESPACE
qrNLMM/data
qrNLMM/data/Soybean.txt.gz
qrNLMM/data/HIV.txt.gz
qrNLMM/R
qrNLMM/R/QSAEM_NLMM.R qrNLMM/R/HelpfulFunctions.R qrNLMM/R/QRNLMM.R
qrNLMM/MD5
qrNLMM/DESCRIPTION
qrNLMM/man
qrNLMM/man/HIV.Rd qrNLMM/man/QRNLMM.Rd qrNLMM/man/Soybean.Rd qrNLMM/man/qrNLMM-package.Rd qrNLMM/man/group.plots.Rd

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