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.

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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: jmcm results


Reference manual: jmcm.pdf
Package source: jmcm_0.1.7.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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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