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:Christian E. Galarza <[email protected]> and Victor H. Lachos <[email protected]>

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-4.5-any)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'))
Datasets:
  • HIV - HIV viral load study
  • Soybean - Growth of soybean plants

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 2 stars 5 scripts 389 downloads 4 exports 38 dependencies

Last updated 9 months agofrom:ad0c30b411. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 10 2025
R-4.5-winOKMar 10 2025
R-4.5-macOKMar 10 2025
R-4.5-linuxOKMar 10 2025
R-4.4-winOKMar 10 2025
R-4.4-macOKMar 10 2025
R-4.4-linuxOKMar 10 2025
R-4.3-winOKMar 10 2025
R-4.3-macOKMar 10 2025

Exports:group.linesgroup.plotgroup.pointsQRNLMM

Dependencies:aldBHclicontfraccrayondeSolveellipticglueGPArotationhmshypergeolatticelifecyclelqrMASSMatrixMatrixModelsmnormtMomTruncmvtnormnlmenumDerivpkgconfigprettyunitsprogresspsychquantregR6RcppRcppArmadilloRcppEigenrlangSparseMspatstat.univarspatstat.utilssurvivaltlrmvnmvtvctrs