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>.

Getting started

Package details

AuthorSudipta Paul [aut, ctb], Rajeev Ranjan Kumar [aut, cre], Mrinmoy Ray [ctb], Biswajit Mondal [ctb], Prakash Kumar [ctb]
MaintainerRajeev Ranjan Kumar <rrk.uasd@gmail.com>
LicenseGPL-3
Version0.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("compindPCA")

Try the compindPCA package in your browser

Any scripts or data that you put into this service are public.

compindPCA documentation built on May 31, 2023, 6:12 p.m.