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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.2.1 by Jianxin Pan, 3 months ago

Report a bug at

Browse source code at

Authors: Jianxin Pan [aut, cre] , Yi Pan [aut]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports Formula, lattice, methods, Rcpp

Suggests testthat, R.rsp

Linking to Rcpp, RcppArmadillo, roptim

System requirements: C++11

Depended on by varjmcm.

Suggested by slim.

See at CRAN