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: 0.1.7.0
Depends: R (≥ 3.2.2)
Imports: Formula, methods, Rcpp (≥ 0.11.6)
LinkingTo: Rcpp, RcppArmadillo
Published: 2016-10-20
Author: Jianxin Pan [aut, cre], Yi Pan [aut]
Maintainer: Jianxin Pan <Jianxin.Pan at manchester.ac.uk>
BugReports: https://github.com/ypan1988/jmcm/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/ypan1988/jmcm/
NeedsCompilation: yes
CRAN checks: jmcm results

Downloads:

Reference manual: jmcm.pdf
Package source: jmcm_0.1.7.0.tar.gz
Windows binaries: r-devel: jmcm_0.1.7.0.zip, r-release: jmcm_0.1.7.0.zip, r-oldrel: jmcm_0.1.7.0.zip
OS X El Capitan binaries: r-release: jmcm_0.1.7.0.tgz
OS X Mavericks binaries: r-oldrel: jmcm_0.1.7.0.tgz
Old sources: jmcm archive

Reverse dependencies:

Reverse suggests: slim

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