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

Package details

AuthorJianxin Pan [aut, cre], Yi Pan [aut]
MaintainerJianxin Pan <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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jmcm documentation built on May 2, 2019, 5:41 a.m.