compindPCA: Computation of Relative Weights of Variables and Composite Index Values Based on PCA

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). <doi:10.1016/j.ecolind.2018.02.053>, and Wu, T. (2021). <doi:10.1016/j.ecolind.2021.108006>.

Version:	0.1.0
Depends:	R (≥ 2.10)
Imports:	factoextra
Published:	2023-05-16
DOI:	10.32614/CRAN.package.compindPCA
Author:	Sudipta Paul [aut, ctb], Rajeev Ranjan Kumar [aut, cre], Mrinmoy Ray [ctb], Biswajit Mondal [ctb], Prakash Kumar [ctb]
Maintainer:	Rajeev Ranjan Kumar <rrk.uasd at gmail.com>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	compindPCA results

Documentation:

Reference manual:

compindPCA.pdf

Downloads:

Package source:	compindPCA_0.1.0.tar.gz
Windows binaries:	r-devel: compindPCA_0.1.0.zip, r-release: compindPCA_0.1.0.zip, r-oldrel: compindPCA_0.1.0.zip
macOS binaries:	r-release (arm64): compindPCA_0.1.0.tgz, r-oldrel (arm64): compindPCA_0.1.0.tgz, r-release (x86_64): compindPCA_0.1.0.tgz, r-oldrel (x86_64): compindPCA_0.1.0.tgz

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