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.
|Author||Jianxin Pan [aut, cre], Yi Pan [aut]|
|Date of publication||2017-11-25 15:56:26 UTC|
|Maintainer||Jianxin Pan <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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