Package: compindPCA 0.1.0
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>.
Authors:
compindPCA_0.1.0.tar.gz
compindPCA_0.1.0.zip(r-4.5)compindPCA_0.1.0.zip(r-4.4)compindPCA_0.1.0.zip(r-4.3)
compindPCA_0.1.0.tgz(r-4.4-any)compindPCA_0.1.0.tgz(r-4.3-any)
compindPCA_0.1.0.tar.gz(r-4.5-noble)compindPCA_0.1.0.tar.gz(r-4.4-noble)
compindPCA_0.1.0.tgz(r-4.4-emscripten)compindPCA_0.1.0.tgz(r-4.3-emscripten)
compindPCA.pdf |compindPCA.html✨
compindPCA/json (API)
# Install 'compindPCA' in R: |
install.packages('compindPCA', repos = c('https://rrk4910.r-universe.dev', 'https://cloud.r-project.org')) |
- Data_sample - Sample data for the PCA based compositive index.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:89cbfa1a64. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 14 2024 |
R-4.5-win | OK | Oct 14 2024 |
R-4.5-linux | OK | Oct 14 2024 |
R-4.4-win | OK | Oct 14 2024 |
R-4.4-mac | OK | Oct 14 2024 |
R-4.3-win | OK | Oct 14 2024 |
R-4.3-mac | OK | Oct 14 2024 |
Exports:compind
Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatacliclustercolorspacecorrplotcowplotcpp11crosstalkdendextendDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluatefactoextraFactoMineRfansifarverfastmapflashClustfontawesomeFormulafsgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplyrpolynompromisespurrrquantregR6rappdirsRColorBrewerRcppRcppEigenreshape2rlangrmarkdownrstatixsassscalesscatterplot3dSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Computation of PCA based composite index values | compind |
Sample data for the PCA based compositive index. | Data_sample |