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 |
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