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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install.packages("jmcm")

0.2.1 by Jianxin Pan, a month ago


https://github.com/ypan1988/jmcm/


Report a bug at https://github.com/ypan1988/jmcm/issues


Browse source code at https://github.com/cran/jmcm


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