Joint Mean-Covariance Models using 'Armadillo' and S4 R package jmcm version 0.2.5 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. Software Depends: R (>= 3.2.2) Imports: Formula, methods, Rcpp (>= 0.12.14) LinkingTo: Rcpp, RcppArmadillo (>= 0.9.900.1.0), roptim Suggests: testthat, R.rsp Jianxin Pan <jianxinpan@uic.edu.cn> Comprehensive R Archive Network (CRAN) Jianxin Pan [aut, cre], Yi Pan [aut] GPL (>= 2) 2025-10-13 application/tgz https://CRAN.R-project.org/package=jmcm doi:10.32614/CRAN.package.jmcm