mabacR is an R package that executes the mathematical algorithms that make up the MABAC method, a multi-criteria decision-making method. The package normalizes the data, applies weights, determines the border area, calculates distances to this area, and finally generates a ranking with the optimal option.

You can install the package directly from GitHub using the devtools package. Run the following command in R:

# Install devtools if you haven't already
install.packages("devtools")

# Install mabacR from GitHub
devtools::install_github("https://github.com/slabaverse/mabacR.git")

mabacR(mabac_df)

The mabacR function accepts a dataset that must contain, necessarily in this order:

1. A column with the criteria.
2. A column with the weights (which must sum to 1).
3. A column with the types (1 for maximization and -1 for minimization).
4. And the columns with the evaluated items.

• mabac_df: The original dataset.

The function returns a ranking with the optimal choice according to your criteria, weights, and types of criteria.

# Example usage of the mabacR function
data(mabac_df) # Load your dataset
output <- mabacR(mabac_df) # Run the function
print(output) # Print the resulting ranking

Contributions are welcome! Feel free to open issues or pull requests.

This package is licensed under the MIT License.

If you have any questions, feel free to reach out:

• Author: Adam Slabadack
• Email: [email protected]