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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | compindPCA_0.1.0.tar.gz |
13.6 KiB |
0.1.0 |
rolling linux/noble R-4.5 | compindPCA_0.1.0.tar.gz |
13.5 KiB |
0.1.0 |
rolling source/ R- | compindPCA_0.1.0.tar.gz |
4.1 KiB |
0.1.0 |
latest linux/jammy R-4.5 | compindPCA_0.1.0.tar.gz |
13.6 KiB |
0.1.0 |
latest linux/noble R-4.5 | compindPCA_0.1.0.tar.gz |
13.5 KiB |
0.1.0 |
latest source/ R- | compindPCA_0.1.0.tar.gz |
4.1 KiB |
0.1.0 |
2026-04-26 source/ R- | compindPCA_0.1.0.tar.gz |
4.1 KiB |
0.1.0 |
2026-04-23 source/ R- | compindPCA_0.1.0.tar.gz |
4.1 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | compindPCA_0.1.0.zip |
14.2 KiB |
0.1.0 |
2025-04-20 source/ R- | compindPCA_0.1.0.tar.gz |
4.1 KiB |