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-any)qrLMM_2.3.zip(r-4.6-any)qrLMM_2.3.zip(r-4.5-any)
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 301 downloads 4 exports 27 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK194
source / vignettesOK211
linux-releaseOK202
macos-releaseOK167
macos-oldrelOK166
windows-develOK114
windows-releaseOK130
windows-oldrelOK105
wasm-releaseOK133

Exports:group.linesgroup.plotgroup.pointsQRLMM

Dependencies:aldBHcontfracdeSolveellipticGPArotationhypergeolatticelqrMASSMatrixMatrixModelsmnormtMomTruncmvtnormnlmenumDerivpsychquantregRcppRcppArmadilloRcppEigenSparseMspatstat.univarspatstat.utilssurvivaltlrmvnmvt