Package: giniCI 0.1.3

giniCI: Gini-Based Composite Indicators

An implementation of Gini-based weighting approaches in constructing composite indicators, providing functionalities for normalization, aggregation, and ranking comparison.

Authors:Viet Duong Nguyen [aut, cre], Chiara Gigliarano [aut], Mariateresa Ciommi [aut]

giniCI_0.1.3.tar.gz
giniCI_0.1.3.zip(r-4.7-any)giniCI_0.1.3.zip(r-4.6-any)giniCI_0.1.3.zip(r-4.5-any)
giniCI_0.1.3.tgz(r-4.6-any)giniCI_0.1.3.tgz(r-4.5-any)
giniCI_0.1.3.tar.gz(r-4.7-any)giniCI_0.1.3.tar.gz(r-4.6-any)
giniCI_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
giniCI/json (API)

# Install 'giniCI' in R:

install.packages('giniCI', repos = c('https://novidu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/novidu/ginici/issues

Datasets:

bli - OECD Better Life Index Indicators

On CRAN:

4.00 score 1 stars 2 scripts 241 downloads 6 exports 111 dependencies

Last updated from:02a4509918. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel	NOTE	188
source / vignettes	OK	274
linux-release	NOTE	262
macos-release	NOTE	179
macos-oldrel	NOTE	185
windows-devel	NOTE	144
windows-release	NOTE	89
windows-oldrel	NOTE	108
wasm-release	OK	146

Exports:giniCI normalize rankComp rankRankPlot rankScatterPlot rankShiftPlot

Dependencies:abind askpass backports bit bit64 boot broom car carData cellranger class cli clipr colorspace corrplot cowplot cpp11 crayon curl data.table Deriv DescTools doBy dplyr e1071 Exact expm farver forcats forecast Formula fracdiff fs generics ggplot2 ggpubr ggrepel ggsci ggsignif gld glue gridExtra gtable haven hms httr isoband jsonlite labeling lattice lifecycle lme4 lmom lmtest magrittr MASS Matrix MatrixModels mgcv mime minqa modelr mvtnorm nlme nloptr nnet numDeriv openssl pbkrtest pillar pkgconfig polynom prettyunits progress proxy purrr quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack readr readxl reformulas rematch rlang rootSolve rstatix rstudioapi S7 scales SparseM stringi stringr survival sys tibble tidyr tidyselect timeDate tzdb urca utf8 vctrs viridisLite vroom withr zoo

Gini-based Composite Indicators

Introduction | Data Normalization | Composite Index Computation | Ranking Comparison

Rendered fromginiCI.pdf.asisusingR.rsp::asis

Last update: 2025-11-19
Started: 2025-11-19

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
OECD Better Life Index Indicators	bli
Computing Gini-based Composite Indicators	giniCI
Indicator Normalization	normalize
Ranking Comparison	rankComp
Rank-rank Plot	rankRankPlot
Rank Scatter Plot	rankScatterPlot
Rank Shift Plot	rankShiftPlot
Summarizing Ranking Comparison	print.summary.rankComp summary.rankComp