Composite Indicator Construction and Analysis
A comprehensive high-level package for composite indicator construction and analysis. It is a "development environment"
for composite indicators and scoreboards, which includes utilities for construction (indicator selection, denomination, imputation,
data treatment, normalisation, weighting and aggregation) and analysis (multivariate analysis, correlation plotting, short cuts for
principle component analysis, global sensitivity analysis, and more). A composite indicator is completely encapsulated inside a single
hierarchical list called a "COIN". This allows a fast and efficient work flow, as well as making quick copies, testing methodological variations and making comparisons.
It also includes many plotting options, both statistical (scatter plots, distribution plots) as well as for presenting results (maps,
bar charts, radar charts, and more).
Finally, three Shiny apps are available which enable fast data exploration, results presentation, and checking the effects of
altering weights.
Full documentation is found in the online book at <https://bluefoxr.github.io/COINrDoc/>, as well as the vignette.
person("William", "Becker", email = "william.becker@bluefoxdata.eu",
role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-6467-4472"))
William Becker [aut, cre, cph]
(<https://orcid.org/0000-0002-6467-4472>)

A comprehensive high-level package for composite indicator construction and analysis. It is a "development environment"
for composite indicators and scoreboards, which includes utilities for construction (indicator selection, denomination, imputation,
data treatment, normalisation, weighting and aggregation) and analysis (multivariate analysis, correlation plotting, short cuts for
principal component analysis, global sensitivity analysis, and more). A composite indicator is completely encapsulated inside a single
hierarchical list called a "COIN". This allows a fast and efficient work flow, as well as making quick copies, testing methodological variations and making comparisons.
It also includes many plotting options, both statistical (scatter plots, distribution plots) as well as for presenting results (maps,
bar charts, radar charts, and more).
Finally, three Shiny apps are available which enable fast data exploration, results presentation, and checking the effects of
altering weights.
Full documentation is found in the online book at <https://bluefoxr.github.io/COINrDoc/>, as well as the vignette.