About

This GitHub repository includes some of the simulation studies and data analysis included in the paper: Author. (2024). Bayesian Inference for Spatial Data on a Lattice Using Convolutional Neural Networks.

Guidelines for running each of the parameters & data simulations and CNN training steps are provided in their respective directories.

0. Package version

1. Data simulation

• data_sim.R : simulate Ising, potts, and the autologistic model
• data_sim.cpp : C++ function to generate Ising, and autologistic model

2. Model train

• data_sim.R : simulate Ising, potts, and the autologistic model

3. MC sample generation

• data_sim.R : simulate Ising, potts, and the autologistic model