Package: qrNLMM 4.0

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 result is 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 [aut, cre], Victor H. Lachos [aut]

qrNLMM_4.0.tar.gz
qrNLMM_4.0.zip(r-4.7-any)qrNLMM_4.0.zip(r-4.6-any)qrNLMM_4.0.zip(r-4.5-any)
qrNLMM_4.0.tgz(r-4.6-any)qrNLMM_4.0.tgz(r-4.5-any)
qrNLMM_4.0.tar.gz(r-4.7-any)qrNLMM_4.0.tar.gz(r-4.6-any)
qrNLMM_4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 6 scripts 478 downloads 4 exports 38 dependencies

Last updated from:0b5e4dffbc. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK163
source / vignettesOK182
linux-releaseOK146
macos-releaseOK98
macos-oldrelOK139
windows-develOK155
windows-releaseOK116
windows-oldrelOK112
wasm-releaseOK118

Exports:group.linesgroup.plotgroup.pointsQRNLMM

Dependencies:aldBHclicontfraccrayondeSolveellipticglueGPArotationhmshypergeolatticelifecyclelqrMASSMatrixMatrixModelsmnormtMomTruncmvtnormnlmenumDerivpkgconfigprettyunitsprogresspsychquantregR6RcppRcppArmadilloRcppEigenrlangSparseMspatstat.univarspatstat.utilssurvivaltlrmvnmvtvctrs