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✨
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.

1.08 score 1 stars 12 scripts 251 downloads 4 exports 27 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK194
source / vignettesOK215
linux-release-x86_64OK189
macos-release-arm64OK92
macos-oldrel-arm64OK106
windows-develOK111
windows-releaseOK108
windows-oldrelOK112
wasm-releaseOK131

Exports:group.linesgroup.plotgroup.pointsQRLMM

Dependencies:aldBHcontfracdeSolveellipticGPArotationhypergeolatticelqrMASSMatrixMatrixModelsmnormtMomTruncmvtnormnlmenumDerivpsychquantregRcppRcppArmadilloRcppEigenSparseMspatstat.univarspatstat.utilssurvivaltlrmvnmvt