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jmcm: Joint Mean-Covariance Models using 'Armadillo' and S4

Fit joint mean-covariance models for longitudinal data. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Armadillo' C++ library for numerical linear algebra and 'RcppArmadillo' glue.

Version:0.2.5
Depends:R (≥ 3.2.2)
Imports:Formula, methods,Rcpp (≥ 0.12.14)
LinkingTo:Rcpp,RcppArmadillo (≥ 0.9.900.1.0),roptim
Suggests:testthat,R.rsp
Published:2025-10-13
DOI:10.32614/CRAN.package.jmcm
Author:Jianxin Pan [aut, cre], Yi Pan [aut]
Maintainer:Jianxin Pan <jianxinpan at uic.edu.cn>
BugReports:https://github.com/ypan1988/jmcm/issues
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:https://github.com/ypan1988/jmcm/
NeedsCompilation:yes
Citation:jmcm citation info
Materials:NEWS
CRAN checks:jmcm results

Documentation:

Reference manual:jmcm.html ,jmcm.pdf
Vignettes:jmcm: An R Package for Joint Mean-Covariance Modelling of Longitudinal Data (source)

Downloads:

Package source: jmcm_0.2.5.tar.gz
Windows binaries: r-devel:jmcm_0.2.5.zip, r-release:jmcm_0.2.5.zip, r-oldrel:jmcm_0.2.5.zip
macOS binaries: r-release (arm64):jmcm_0.2.5.tgz, r-oldrel (arm64):jmcm_0.2.5.tgz, r-release (x86_64):jmcm_0.2.5.tgz, r-oldrel (x86_64):jmcm_0.2.5.tgz
Old sources: jmcm archive

Reverse dependencies:

Reverse depends:varjmcm
Reverse suggests:slim

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=jmcmto link to this page.


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