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.
Version: |
0.1.1.0 |
Depends: |
R (≥ 3.2.2) |
Imports: |
Formula, methods, Rcpp (≥ 0.11.6) |
LinkingTo: |
Rcpp, RcppArmadillo |
Published: |
2015-12-15 |
Author: |
Jianxin Pan [aut, cre],
Yi Pan [aut] |
Maintainer: |
Jianxin Pan <Jianxin.Pan at manchester.ac.uk> |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: |
yes |
CRAN checks: |
jmcm results |