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Description

The repository contains code associated with the following article (i.e., the code supporting the numerical findings) and describes how to reproduce the findings.

Zhang, S. and Chen, Y. (2023). A Note on Ising Network Analysis with Missing Data.

Files

The following files are provided:

  • depend_funcs.py: This Python script is the source file containing utility functions that are essential to the processes of model fitting and data manipulation.

  • simulation1.py: A Python script designed for the six-node simulation example. It runs the model and produces results based on predefined parameters.

  • simulation2.py: This Python script is developed for a more complex, fifteen-node simulation example, providing further insight into the model's performance.

  • real_data_Ising.py: This Python script is used for analysing the NESARC dataset utilizing the method proposed in our study. It illustrates how the method is applied to real-world data.

Code Format

The provided code scripts are written in Python. Users should ensure they have an appropriate Python environment set up to run the scripts.

Run the code using Google Colab

Colab

Licensing Information

GPL v3.0