# PoissonMixtureClustering

**PoissonMixtureClustering** is an R package designed for fitting Poisson mixture models using the Expectation-Maximization (EM) algorithm, specifically tailored for clustered data analysis.

## Installation

You can install the latest version of **PoissonMixtureClustering** from GitHub using the `devtools` package:

```R
devtools::install_github("username/PoissonMixtureClustering")

Usage

# Load the package
library(PoissonMixtureClustering)

Example usage Example usage

Features

• Fits Poisson mixture models efficiently using EM algorithm.
• Suitable for analyzing clustered data.
• Provides functions for model fitting, parameter estimation, and result visualization.

Authors

• Sarra SLIMI
• Badia ALFATHI

Dependencies

• mclust: for clustering analysis.

Contributing

Contributions to improve PoissonMixtureClustering are welcome. You can contribute by forking the repository and creating pull requests with your changes.