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Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
structSSI: Simultaneous and Selective Inference for Grouped or Hierarchically Structured Data | Sankaran | Journal of Statistical Software
Authors: Kris Sankaran, Susan Holmes
Title: structSSI: Simultaneous and Selective Inference for Grouped or Hierarchically Structured Data
Abstract: The R package structSSI provides an accessible implementation of two recently developed simultaneous and selective inference techniques: the group Benjamini-Hochberg and hierarchical false discovery rate procedures. Unlike many multiple testing schemes, these methods specifically incorporate existing information about the grouped or hierarchical dependence between hypotheses under consideration while controlling the false discovery rate. Doing so increases statistical power and interpretability. Furthermore, these procedures provide novel approaches to the central problem of encoding complex dependency between hypotheses.
We briefly describe the group Benjamini-Hochberg and hierarchical false discovery rate procedures and then illustrate them using two examples, one a measure of ecological microbial abundances and the other a global temperature time series. For both procedures, we detail the steps associated with the analysis of these particular data sets, including establishing the dependence structures, performing the test, and interpreting the results. These steps are encapsulated by R functions, and we explain their applicability to general data sets.

Page views:: 3064. Submitted: 2012-11-29. Published: 2014-09-12.
Paper: structSSI: Simultaneous and Selective Inference for Grouped or Hierarchically Structured Data     Download PDF (Downloads: 3135)
Supplements:
structSSI_1.1.tar.gz: R source package Download (Downloads: 157; 24KB)
v59i13.R: R example code from the paper Download (Downloads: 208; 4KB)

DOI: 10.18637/jss.v059.i13

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.