Package: compindexR 0.1.1

Olgun Aydin

compindexR: Calculates Composite Index

It uses the first-order sensitivity index to measure whether the weights assigned by the creator of the composite indicator match the actual importance of the variables. Moreover, the variance inflation factor is used to reduce the set of correlated variables. In the case of a discrepancy between the importance and the assigned weight, the script determines weights that allow adjustment of the weights to the intended impact of variables. If the optimised weights are unable to reflect the desired importance, the highly correlated variables are reduced, taking into account variance inflation factor. The final outcome of the script is the calculated value of the composite indicator based on optimal weights and a reduced set of variables, and the linear ordering of the analysed objects.

Authors:Olgun Aydin [cre], Marta Kuc-Czarnecka [aut], Michal Pietrzak [aut]

compindexR_0.1.1.tar.gz
compindexR_0.1.1.zip(r-4.5)compindexR_0.1.1.zip(r-4.4)compindexR_0.1.1.zip(r-4.3)
compindexR_0.1.1.tgz(r-4.4-any)compindexR_0.1.1.tgz(r-4.3-any)
compindexR_0.1.1.tar.gz(r-4.5-noble)compindexR_0.1.1.tar.gz(r-4.4-noble)
compindexR_0.1.1.tgz(r-4.4-emscripten)compindexR_0.1.1.tgz(r-4.3-emscripten)
compindexR.pdf |compindexR.html
compindexR/json (API)

# Install 'compindexR' in R:
install.packages('compindexR', repos = c('https://olgnaydn.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/olgnaydn/compindexr/issues

On CRAN:

7 exports 1 stars 0.83 score 62 dependencies 1 scripts 196 downloads

Last updated 1 years agofrom:4f1edb2a1e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 27 2024
R-4.5-winOKAug 27 2024
R-4.5-linuxOKAug 27 2024
R-4.4-winOKAug 27 2024
R-4.4-macOKAug 27 2024
R-4.3-winOKAug 27 2024
R-4.3-macOKAug 27 2024

Exports:calc_averagecalc_compindexci_optimizerscalingsi_linearsi_linear_excsi_linear_exc_vif

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellNlcOptimnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpracmapurrrquadprogquantregR6RColorBrewerRcppRcppEigenrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr