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Takes in a table of indicators for competitors and computes optimal indicator-weights for each competitor to rank the highest.

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JWizards/rankoptimalweights

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rankoptimalweights

Rank Optimal Weights is an R package designed to take in a table of indicators for competitors and then compute optimal weights for each competitor to attain its best rank. This is done by calling SCIP which can be installed with an academic license here

Installation

You can install the development version of rankoptimalweights like so: Ensure also that SCIP is installed and system callable.

library("devtools")
install()

Example

This is a basic example which shows you how to solve a common problem:

library(rankoptimalweights)

countries <- read.csv("man/example_data/oecd_betterlife_2013.csv")
select_indicators <- countries[75:85]
solution_weights <- rank_best(select_indicators)

# loads example data (Countries by their indicators from oecd_betterlife index and selects a table of the relevent indicators)

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Takes in a table of indicators for competitors and computes optimal indicator-weights for each competitor to rank the highest.

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License

Unknown, MIT licenses found

Licenses found

Unknown
LICENSE
MIT
LICENSE.md

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