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.

Install the latest version of this package by entering the following in R:
install.packages("jmcm")
AuthorJianxin Pan [aut, cre], Yi Pan [aut]
Date of publication2016-10-20 00:13:34
MaintainerJianxin Pan <Jianxin.Pan@manchester.ac.uk>
LicenseGPL (>= 2)
Version0.1.7.0
https://github.com/ypan1988/jmcm/

View on CRAN

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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