Package: qrLMM 2.3

qrLMM: Quantile Regression for Linear Mixed-Effects Models

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.

Authors:Christian E. Galarza <[email protected]> and Victor H. Lachos <[email protected]>

qrLMM_2.3.tar.gz
qrLMM_2.3.zip(r-4.7)qrLMM_2.3.zip(r-4.6)qrLMM_2.3.zip(r-4.5)
qrLMM_2.3.tgz(r-4.6-any)qrLMM_2.3.tgz(r-4.5-any)
qrLMM_2.3.tar.gz(r-4.7-any)qrLMM_2.3.tar.gz(r-4.6-any)
qrLMM_2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
qrLMM/json (API)

# Install 'qrLMM' in R:
install.packages('qrLMM', repos = c('https://chedgala.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • Cholesterol - Framingham cholesterol study
  • Orthodont - Growth curve data on an orthdontic measurement

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 1 stars 20 scripts 369 downloads 4 exports 27 dependencies

Last updated from:925ba5b849. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK193
source / vignettesOK246
linux-release-x86_64OK189
macos-release-arm64OK124
macos-oldrel-arm64OK97
windows-develOK118
windows-releaseOK119
windows-oldrelOK116
wasm-releaseOK157

Exports:group.linesgroup.plotgroup.pointsQRLMM

Dependencies:aldBHcontfracdeSolveellipticGPArotationhypergeolatticelqrMASSMatrixMatrixModelsmnormtMomTruncmvtnormnlmenumDerivpsychquantregRcppRcppArmadilloRcppEigenSparseMspatstat.univarspatstat.utilssurvivaltlrmvnmvt