jmcm: a Python package for analyzing longitudinal data using joint mean-covariance models

Xuerui Yang, Jianxin Pan. jmcm: a Python package for analyzing longitudinal data using joint mean-covariance models. Communications in Statistics - Simulation and Computation, 52(11):5446-5461, November 2023. [doi]

@article{YangP23-6,
  title = {jmcm: a Python package for analyzing longitudinal data using joint mean-covariance models},
  author = {Xuerui Yang and Jianxin Pan},
  year = {2023},
  month = {November},
  doi = {10.1080/03610918.2021.1990324},
  url = {https://doi.org/10.1080/03610918.2021.1990324},
  researchr = {https://researchr.org/publication/YangP23-6},
  cites = {0},
  citedby = {0},
  journal = {Communications in Statistics - Simulation and Computation},
  volume = {52},
  number = {11},
  pages = {5446-5461},
}