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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.
Getting started
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Package details |
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| Author | Jianxin Pan [aut, cre], Yi Pan [aut] |
| Maintainer | Jianxin Pan <Jianxin.Pan@manchester.ac.uk> |
| License | GPL (>= 2) |
| Version | 0.2.4 |
| URL | https://github.com/ypan1988/jmcm/ |
| Package repository | View on CRAN |
| Installation |
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