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:
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')) |
- Cholesterol - Framingham cholesterol study
- Orthodont - Growth curve data on an orthdontic measurement
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 months agofrom:925ba5b849. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 11 2024 |
R-4.5-win | OK | Oct 11 2024 |
R-4.5-linux | OK | Oct 11 2024 |
R-4.4-win | NOTE | Oct 11 2024 |
R-4.4-mac | NOTE | Oct 11 2024 |
R-4.3-win | NOTE | Oct 11 2024 |
R-4.3-mac | NOTE | Oct 11 2024 |
Exports:group.linesgroup.plotgroup.pointsQRLMM
Dependencies:aldBHcontfracdeSolveellipticGPArotationhypergeolatticelqrMASSMatrixMatrixModelsmnormtMomTruncmvtnormnlmenumDerivpsychquantregRcppRcppArmadilloRcppEigenSparseMspatstat.univarspatstat.utilssurvivaltlrmvnmvt
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Package for Quantile Regression for Linear Mixed-Effects Model | qrLMM-package |
Framingham cholesterol study | Cholesterol |
Plot function for grouped data | group.lines group.plot group.plots group.points |
Growth curve data on an orthdontic measurement | Orthodont |
Quantile Regression for Linear Mixed-Effects Models | QRLMM |