AggregationMethods

This repository contains all the source codes of consensual aggregation methods implemented in R and python. All codes contained in each file are built with recent version of R software (version $>$ 4.1, available here) and Rstudio (version > 2022.02.2+485, available here).

Alternative

The aggregation methods implemented here are now available in gradientcobra Python library. The library can be installed by:

`pip install gradientcobra`

For more information, see the library: https://pypi.org/project/gradientcobra/.

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🔎 How to download & run the codes in R?

To run the codes, you can clone the repository directly or simply load the R script source files from this repository using devtools package in Rstudio as follows:

1. Install devtools package using command:

   install.packages("devtools")

2. Loading the source codes from GitHub repository using source_url function by:

   devtools::source_url("https://raw.githubusercontent.com/hassothea/AggregationMethods/main/file.R")

where file.R is the file name contained in this repository which you want to import into your Rstudio.

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🔎 How to download & run the codes in Python?

• Download and import the .py file into your environment.

📖 Documentation

The documentation and explanation of all the aggregation methods are available on my webpage as listed below:

• GradientCOBRARegressor : for regression, see GradientCOBRARegressor documentation.
• KernelAggClassifier : for classification, see KernelAggClassifier documentation.
• MixCobraRegressor : for regression, see MixCobraRegressor documentation.
• MixCobraClassifier : for classification, see MixCobraClassifier documentation.

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