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compindPCA  

Computation of Relative Weights of Variables and Composite Index Values Based on PCA
View on CRAN: Click here


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

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

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



Attach the package and use:
library("compindPCA")
Maintained by
Rajeev Ranjan Kumar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-16
Latest Update: 2023-05-16
Description:
It helps in development of a principal component analysis based composite index by assigning weights to variables and combining the weighted variables. For method details see Sendhil, R., Jha, A., Kumar, A. and Singh, S. (2018). , and Wu, T. (2021). .
How to cite:
Rajeev Ranjan Kumar (2023). compindPCA: Computation of Relative Weights of Variables and Composite Index Values Based on PCA. R package version 0.1.0, https://cran.r-project.org/web/packages/compindPCA. Accessed 22 Dec. 2024.
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Complete documentation for compindPCA
Functions, R codes and Examples using the compindPCA R package
Some associated functions: Data_sample . compind . 
Some associated R codes: compind.R .  Full compindPCA package functions and examples
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