Package: qrNLMM 3.4
qrNLMM: Quantile Regression for Nonlinear Mixed-Effects Models
Quantile regression (QR) for Nonlinear 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 prediction and graphical summaries for assessing the algorithm convergence and fitting results.
Authors:
qrNLMM_3.4.tar.gz
qrNLMM_3.4.zip(r-4.5)qrNLMM_3.4.zip(r-4.4)qrNLMM_3.4.zip(r-4.3)
qrNLMM_3.4.tgz(r-4.4-any)qrNLMM_3.4.tgz(r-4.3-any)
qrNLMM_3.4.tar.gz(r-4.5-noble)qrNLMM_3.4.tar.gz(r-4.4-noble)
qrNLMM_3.4.tgz(r-4.4-emscripten)qrNLMM_3.4.tgz(r-4.3-emscripten)
qrNLMM.pdf |qrNLMM.html✨
qrNLMM/json (API)
| # Install 'qrNLMM' in R: |
| install.packages('qrNLMM', repos = c('https://chedgala.r-universe.dev', 'https://cloud.r-project.org')) |
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:ad0c30b411. Checks:OK: 7. 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 | OK | Oct 11 2024 |
| R-4.4-mac | OK | Oct 11 2024 |
| R-4.3-win | OK | Oct 11 2024 |
| R-4.3-mac | OK | Oct 11 2024 |
Exports:group.linesgroup.plotgroup.pointsQRNLMM
Dependencies:aldBHclicontfraccrayondeSolveellipticglueGPArotationhmshypergeolatticelifecyclelqrMASSMatrixMatrixModelsmnormtMomTruncmvtnormnlmenumDerivpkgconfigprettyunitsprogresspsychquantregR6RcppRcppArmadilloRcppEigenrlangSparseMspatstat.univarspatstat.utilssurvivaltlrmvnmvtvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Package for Quantile Regression for Linear Mixed-Effects Model | qrNLMM-package |
| Plot function for grouped data | group.lines group.plot group.plots group.points |
| HIV viral load study | HIV |
| Predict method for Quantile Regression for Nonlinear Mixed-Effects (QRNLMM) fits | predict.QRNLMM |
| Quantile Regression for Nonlinear Mixed-Effects Models | QRNLMM |
| Growth of soybean plants | Soybean |
