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cocosoR  

CoCoSo - Combined Compromise Solution Method for MCDA
View on CRAN: Click here


Download and install cocosoR package within the R console
Install from CRAN:
install.packages("cocosoR")

Install from Github:
library("remotes")
install_github("cran/cocosoR")

Install by package version:
library("remotes")
install_version("cocosoR", "0.1.0")



Attach the package and use:
library("cocosoR")
Maintained by
Sergio Floquet
[Scholar Profile | Author Map]
First Published: 2023-07-06
Latest Update: 2023-07-06
Description:
Provides a set of functions to implement the Combined Compromise Solution (CoCoSo) Method created by Yazdani, Zarate, Zavadskas and Turskis (2019) . This method is based on an integrated simple additive weighting and compromise exponentially weighted product model.
How to cite:
Sergio Floquet (2023). cocosoR: CoCoSo - Combined Compromise Solution Method for MCDA. R package version 0.1.0, https://cran.r-project.org/web/packages/cocosoR. Accessed 11 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited cocosoR R package
View cocosoR citation profile
Other R packages that cocosoR depends, imports, suggests or enhances
Complete documentation for cocosoR
Functions, R codes and Examples using the cocosoR R package
Some associated functions: check_input_data_cocoso . cocoso . example_cocoso . standard_cocoso . 
Some associated R codes: check_input_data_cocoso.R . cocoso.R . example_cocoso.R . standard_cocoso.R .  Full cocosoR package functions and examples
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