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 |
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 Mavericks binaries: | r-release: jmcm_0.1.7.0.tgz, r-oldrel: jmcm_0.1.7.0.tgz |
Old sources: | jmcm archive |
Reverse suggests: | slim |
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