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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 |
| 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 |
| Reference manual: | compindPCA.pdf |
| 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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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