robustrao
An Extended Rao-Stirling Diversity Index to Handle Missing Data
A collection of functions to compute the Rao-Stirling diversity index 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.
- Version1.0-5
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release01/24/2020
Documentation
Team
Maria del Carmen Calatrava Moreno
Thomas Auzinger
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Last 30 days
This package has been downloaded 191 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 times.
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Last 365 days
This package has been downloaded 2,566 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jan 24, 2024 with 133 downloads.
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- Imports6 packages