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
::install_github("https://github.com/slabaverse/mabacR.git") devtools
mabacR(mabac_df)
The mabacR
function accepts a dataset that must contain,
necessarily in this order:
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
<- mabacR(mabac_df) # Run the function
output 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: