Joint Mean-Covariance Models using 'Armadillo' and S4 [R package jmcm version 0.2.5]

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年10月13日

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:

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