qrLMM: Quantile Regression for Linear Mixed-Effects Models

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Quantile regression (QR) for Linear 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.

Author
Christian E. Galarza <cgalarza88@gmail.com> and Victor H. Lachos <hlachos@ime.unicamp.br>
Date of publication
2015-01-27 15:43:41
Maintainer
Christian E. Galarza <cgalarza88@gmail.com>
License
GPL (>= 2)
Version
1.1

View on CRAN

Man pages

ALD
The Asymmetric Laplace Distribution
Cholesterol
Framingham cholesterol study
Orthodont
Growth curve data on an orthdontic measurement
QRLMM
Quantile Regression for Linear Mixed-Effects Models
qrLMM-package
Package for Quantile Regression for Linear Mixed-Effects...

Files in this package

qrLMM
qrLMM/NAMESPACE
qrLMM/data
qrLMM/data/Orthodont.txt.gz
qrLMM/data/Cholesterol.txt.gz
qrLMM/R
qrLMM/R/Intervalos2.R
qrLMM/R/HelpfulFunctions.R
qrLMM/R/QRLMM.R
qrLMM/R/SAEM.R
qrLMM/MD5
qrLMM/DESCRIPTION
qrLMM/man
qrLMM/man/ALD.Rd
qrLMM/man/qrLMM-package.Rd
qrLMM/man/Cholesterol.Rd
qrLMM/man/QRLMM.Rd
qrLMM/man/Orthodont.Rd