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-4.5)qrLMM_2.3.zip(r-4.4)qrLMM_2.3.zip(r-4.3)
qrLMM_2.3.tgz(r-4.4-any)qrLMM_2.3.tgz(r-4.3-any)
qrLMM_2.3.tar.gz(r-4.5-noble)qrLMM_2.3.tar.gz(r-4.4-noble)
qrLMM_2.3.tgz(r-4.4-emscripten)qrLMM_2.3.tgz(r-4.3-emscripten)
qrLMM.pdf |qrLMM.html
qrLMM/json (API)

# Install 'qrLMM' in R:
install.packages('qrLMM', repos = c('https://chedgala.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • Cholesterol - Framingham cholesterol study
  • Orthodont - Growth curve data on an orthdontic measurement

On CRAN:

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

1.00 score 1 stars 8 scripts 279 downloads 4 exports 27 dependencies

Last updated 4 months agofrom:925ba5b849. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winOKNov 10 2024
R-4.5-linuxOKNov 10 2024
R-4.4-winNOTENov 10 2024
R-4.4-macNOTENov 10 2024
R-4.3-winNOTENov 10 2024
R-4.3-macNOTENov 10 2024

Exports:group.linesgroup.plotgroup.pointsQRLMM

Dependencies:aldBHcontfracdeSolveellipticGPArotationhypergeolatticelqrMASSMatrixMatrixModelsmnormtMomTruncmvtnormnlmenumDerivpsychquantregRcppRcppArmadilloRcppEigenSparseMspatstat.univarspatstat.utilssurvivaltlrmvnmvt