This repository contains R source for implementating the analysis described in the article "Sparse inference in Poisson log-normal model by approximating the L0-norm." The analysis focuses on variable selection and on providing useful/interpretable graphical outputs.
- Implementation of sparse inference methods in the Poisson log-normal model and scripts to perform sparse inference.
- Pipeline analysis: Modify the data file paths in the scripts to analyze different datasets.
- Demonstration scripts: Show how to perform the entire analysis, including data preprocessing, model fitting, and extracting graphical results.
To use the scripts in the pipeline_analysis folder, please refer to the README included in that folder for detailed instructions.
This project is licensed under a Creative Commons License allowing free reuse of the research work.