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compindexR
View on CRAN: Click
here
Download and install compindexR package within the R console
Install from CRAN:
install.packages("compindexR")
Install from Github:
library("remotes")
install_github("cran/compindexR") Install by package version:
library("remotes")
install_version("compindexR", "0.1.3") Attach the package and use:
library("compindexR")
Maintained by
Olgun Aydin
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-16
Latest Update: 2023-11-26
Description:
It uses the first-order sensitivity index to measure whether the weights assigned by the creator of the composite indicator match the actual importance of the variables. Moreover, the variance inflation factor is used to reduce the set of correlated variables. In the case of a discrepancy between the importance and the assigned weight, the script determines weights that allow adjustment of the weights to the intended impact of variables. If the optimised weights are unable to reflect the desired importance, the highly correlated variables are reduced, taking into account variance inflation factor. The final outcome of the script is the calculated value of the composite indicator based on optimal weights and a reduced set of variables, and the linear ordering of the analysed objects.
How to cite:
Olgun Aydin (2023). compindexR: Calculates Composite Index. R package version 0.1.3, https://cran.r-project.org/web/packages/compindexR. Accessed 06 Mar. 2026.
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Complete documentation for compindexR
Functions, R codes and Examples using
the compindexR R package
Some associated functions: calc_average . calc_compindex . ci_optimizer . scaling . si_linear . si_linear_exc . si_linear_exc_vif .
Some associated R codes: calc_average.R . calc_compindex.R . ci_optimizer.R . scaling.R . si_linear.R . si_linear_exc.R . si_linear_exc_vif.R . Full compindexR package functions and examples
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