Evaluation_sim_usage"

In MUGS: Multisource Graph Synthesis with EHR Data

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  eval = FALSE
)

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.

MUGS documentation built on June 8, 2025, 12:35 p.m.