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.

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Package details

AuthorJianxin Pan [aut, cre], Yi Pan [aut]
Date of publication2016-10-20 00:13:34
MaintainerJianxin Pan <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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jmcm documentation built on May 30, 2017, 6:45 a.m.