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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


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