Metadata-Version: 2.1
Name: jmcm
Version: 0.1.2
Summary: A statistical package for fit the joint mean-covariance models
Home-page: https://github.com/Xuerui-Yang/jmcm
Author: Xuerui Yang
Author-email: xuerui-yang@outlook.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown

# 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
```


