https://github.com/cran/robustrao
Tip revision: df079e70f9902d119e85648fbd27d3c49829f06b authored by Maria del Carmen Calatrava Moreno on 24 January 2020, 20:50:08 UTC
version 1.0-5
version 1.0-5
Tip revision: df079e7
DESCRIPTION
Package: robustrao
Type: Package
Title: An Extended Rao-Stirling Diversity Index to Handle Missing Data
Version: 1.0-5
Date: 2020-01-22
Author: Maria del Carmen Calatrava Moreno [aut, cre],
Thomas Auzinger [aut]
Maintainer: Maria del Carmen Calatrava Moreno
<mc.calatrava.moreno@gmail.com>
Description: 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.
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)
License: GPL-3
URL: https://gitlab.com/mc.calatrava.moreno/robustrao.git
Encoding: UTF-8
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2020-01-24 19:21:20 UTC; Mamen
Repository: CRAN
Date/Publication: 2020-01-24 21:50:08 UTC