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)qrNLMM_4.0.zip(r-4.6)qrNLMM_4.0.zip(r-4.5)
qrNLMM_4.0.tgz(r-4.6-any)qrNLMM_4.0.tgz(r-4.5-any)
qrNLMM_4.0.tar.gz(r-4.6-any)qrNLMM_4.0.tar.gz(r-4.5-any)
qrNLMM_4.0.tgz(r-4.5-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 6 scripts 820 downloads 4 exports 38 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK792
source / vignettesOK745
linux-release-x86_64OK976
macos-release-arm64OK134
macos-oldrel-arm64OK102
windows-develOK162
windows-releaseOK149
windows-oldrelOK97
wasm-releaseOK1064

Exports:group.linesgroup.plotgroup.pointsQRNLMM

Dependencies:aldBHclicontfraccrayondeSolveellipticglueGPArotationhmshypergeolatticelifecyclelqrMASSMatrixMatrixModelsmnormtMomTruncmvtnormnlmenumDerivpkgconfigprettyunitsprogresspsychquantregR6RcppRcppArmadilloRcppEigenrlangSparseMspatstat.univarspatstat.utilssurvivaltlrmvnmvtvctrs