An Extended Rao-Stirling Diversity Index to Handle Missing Data R package robustrao version 1.0-5 CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData) A collection of functions to compute the Rao-Stirling diversity index (Porter and Rafols, 2009) <DOI:10.1007/s11192-008-2197-2> and its extension to acknowledge missing data (i.e., uncategorized references) by calculating its interval of uncertainty using mathematical optimization as proposed in Calatrava et al. (2016) <DOI:10.1007/s11192-016-1842-4>. The Rao-Stirling diversity index is a well-established bibliometric indicator to measure the interdisciplinarity of scientific publications. Apart from the obligatory dataset of publications with their respective references and a taxonomy of disciplines that categorizes references as well as a measure of similarity between the disciplines, the Rao-Stirling diversity index requires a complete categorization of all references of a publication into disciplines. Thus, it fails for a incomplete categorization; in this case, the robust extension has to be used, which encodes the uncertainty caused by missing bibliographic data as an uncertainty interval. Classification / ACM - 2012: Information systems ~ Similarity measures, Theory of computation ~ Quadratic programming, Applied computing ~ Digital libraries and archives. Software Depends: R (>= 3.2) Imports: doParallel (>= 1.0.10), gmp (>= 0.5-12), iterpc (>= 0.3.0), quadprog (>= 1.5-5), igraph (>= 1.0.1), foreach (>= 1.4.3) Maria del Carmen Calatrava Moreno <mc.calatrava.moreno@gmail.com> Comprehensive R Archive Network (CRAN) Maria del Carmen Calatrava Moreno [aut, cre], Thomas Auzinger [aut] GPL-3 2020-01-24 application/tgz https://CRAN.R-project.org/package=robustrao doi:10.32614/CRAN.package.robustrao