Facultade de Fisioterapia

Sgof: An R Package for Multiple Testing Problems

Castro Conde, Irene; de Uña-Álvarez, Jacobo
Abstract:
In this paper we present a new R package called sgof for multiple hypothesis testing. The principal aim of this package is to implement SGoF-type multiple testing methods, known to be more powerful than the classical false discovery rate (FDR) and family-wise error rate (FWER) based methods in certain situations, particularly when the number of tests is large. This package includes Binomial and Conservative SGoF and the Bayesian and Beta-Binomial SGoF multiple testing procedures, which are adaptations of the original SGoF method to the Bayesian setting and to possibly correlated tests, respectively. The sgof package also implements the Benjamini-Hochberg and Benjamini-Yekutieli FDR controlling procedures. For each method the package provides (among other things) the number of rejected null hypotheses, estimation of the corresponding FDR, and the set of adjusted p values. Some automatic plots of interest are implemented too. Two real data examples are used to illustrate how sgof works.
Year:
2014
Type of Publication:
Article
Journal:
The R Journal
Volume:
6
Number:
2
Pages:
96-113
Month:
December
DOI:
http://dx.doi.org/
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