Implements several rank-based tests, including the modified Wilcoxon-Mann-Whitney two sample location test, also known as the Fligner-Policello test.

Implements two-sample tests for paired data with missing values (Fong, Huang, Lemos and McElrath 2018, Biostatics, <doi:10.1093/biostatistics/kxx039>) and modified Wilcoxon-Mann-Whitney two sample location test, also known as the Fligner-Policello test.

An Extended Rao-Stirling Diversity Index to Handle Missing Data
María del Carmen Calatrava Moreno [aut, cre],
Thomas Auzinger [aut]
María del Carmen Calatrava Moreno
<mc.calatrava.moreno@gmail.com>
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.

Maria del Carmen Calatrava Moreno [aut, cre],
Thomas Auzinger [aut]
Maria del Carmen Calatrava Moreno
<mc.calatrava.moreno@gmail.com>

Linear regression functions using Huber and bisquare psi functions. Optimal weights are calculated using IRLS algorithm.