Year: 2014
Type: article
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.
Source: The R Journal
DOI: 10.32614/rj-2014-027
Authors: Irene Castro-Conde, Jacobo,de Uña-Álvarez
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: hybrid
Award: G7290039792
OpenAlex ID: W2787695989