A statistical package for fit the joint mean-covariance models
Project description
jmcm
Description
jmcm is an open-source Python package for fitting the joint mean-covariance models for longitudinal data.
It provides:
- function to estimate parameters for the mean, innovation variance, and generalised auto-regressive coefficient
- function to do the Wald hypothesis tests to check the significance of the parameters
- model selection procedures
- bootstrap method to plot the curves for the mean, innovation variance, and generalised auto-regressive coefficient
Source code
https://github.com/Xuerui-Yang/jmcm
Installation
pip install jmcm
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
jmcm-0.1.2.tar.gz
(10.2 kB
view hashes)
Built Distribution
jmcm-0.1.2-py3-none-any.whl
(13.3 kB
view hashes)