# Evaluation_sim_usage

## Introduction

The `evaluation_sim` function is used to evaluate the performance of group effect estimation algorithms under simulated conditions. This vignette demonstrates how to use the `evaluation_sim` function with example data provided in the package.

## Load the Required Library

Ensure the `MUGS` package is loaded before running the example:

    library(MUGS)

## Load Example Data

Load the example data required for the `evaluation_sim` function:

    data(pairs.rel.EV)
    data(U.2)

## Run the Evaluation Simulation

Run the `evaluation_sim` function to evaluate the performance based on the provided data:

    # Evaluate simulation
    evaluation_results <- evaluation.sim(pairs.rel.EV, U.2)

## Examine the Output

Explore the structure and key components of the output:

    # View the structure of the output
    str(evaluation_results)

    # Display first few rows of the results
    cat("\nEvaluation Results (first 5 rows):\n")
    print(head(evaluation_results, 5))

## Notes

1. Input Data: Ensure that `pairs.rel.EV` and `U.2` are properly formatted and loaded before running the function.
2. Output Structure: The output typically includes evaluation metrics and processed results for further analysis.

## Summary

This vignette demonstrated the use of the `evaluation_sim` function for evaluating group effect estimation. Customize the input data and analyze the output to assess the performance of your algorithms.