Composite 'Indicator' Construction and Imputation Data R package Indicator version 0.1.3 Different functions includes constructing composite indicators, imputing missing data, and evaluating imputation techniques. Additionally, different tools for data normalization. Detailed methodologies of 'Indicator' package are: OECD/European Union/EC-JRC (2008), "Handbook on Constructing Composite Indicators: Methodology and User Guide", OECD Publishing, Paris, <DOI:10.1787/533411815016>, Matteo Mazziotta & Adriano Pareto, (2018) "Measuring Well-Being Over Time: The Adjusted Mazziotta–Pareto Index Versus Other Non-compensatory Indices" <DOI:10.1007/s11205-017-1577-5> and De Muro P., Mazziotta M., Pareto A. (2011), "Composite Indices of Development and Poverty: An Application to MDGs" <DOI:10.1007/s11205-010-9727-z>. Software Depends: R (>= 4.0) Imports: FactoMineR, missMethods, stats, norm Suggests: spelling Gianmarco Borrata <gianmarco.borrata@unina.it> Comprehensive R Archive Network (CRAN) Gianmarco Borrata [aut, cre], Pasquale Pipiciello [aut] Unlimited 2024-11-27 application/tgz https://CRAN.R-project.org/package=Indicator doi:10.32614/CRAN.package.Indicator en-US