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robustrao
View on CRAN: Click
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Download and install robustrao package within the R console
Install from CRAN:
install.packages("robustrao")
Install from Github:
library("remotes")
install_github("cran/robustrao")
Install by package version:
library("remotes")
install_version("robustrao", "1.0-5")
Attach the package and use:
library("robustrao")
Maintained by
Maria del Carmen Calatrava Moreno
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-02-17
Latest Update: 2020-01-24
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.
How to cite:
Maria del Carmen Calatrava Moreno (2016). robustrao: An Extended Rao-Stirling Diversity Index to Handle Missing Data. R package version 1.0-5, https://cran.r-project.org/web/packages/robustrao
Previous versions and publish date:
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Other R packages that robustrao depends,
imports, suggests or enhances
Functions, R codes and Examples using
the robustrao R package
Some associated functions: LowerIndexBound . ParallelBoundIndices . PruneDisciplines . RaoCounts . RaoCountsNoValidation . RaoProportions . RaoProportionsNoValidation . RaoStirling . UpperIndexBound . pubdata1 . pubdata2 .
Some associated R codes: bound_index_computations.R . call_indices.R . dataset.R . discipline_pruning.R . rao_index.R . Full robustrao package functions and examples
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