MixTwice-package {MixTwice}R Documentation

Large-Scale Hypothesis Testing by Variance Mixing

Description

Implements large-scale hypothesis testing by variance mixing. It takes two statistics per testing unit – an estimated effect and its associated squared standard error – and fits a nonparametric, shape-constrained mixture separately on two latent parameters. It reports local false discovery rates (lfdr) and local false sign rates (lfsr). Manuscript describing algorithm of MixTwice: Zheng et al(2021) <doi: 10.1093/bioinformatics/btab162>.

Details

The DESCRIPTION file:

Package: MixTwice
Type: Package
Title: Large-Scale Hypothesis Testing by Variance Mixing
Version: 2.0
Imports: alabama, ashr, fdrtool, Iso, stats
Date: 2022-02-28
Author: Zihao Zheng and Michael A.Newton
Maintainer: Zihao Zheng <zihao.zheng@wisc.edu>
Description: Implements large-scale hypothesis testing by variance mixing. It takes two statistics per testing unit -- an estimated effect and its associated squared standard error -- and fits a nonparametric, shape-constrained mixture separately on two latent parameters. It reports local false discovery rates (lfdr) and local false sign rates (lfsr). Manuscript describing algorithm of MixTwice: Zheng et al(2021) <doi: 10.1093/bioinformatics/btab162>.
License: GPL-2

Index of help topics:

MixTwice-package        Large-Scale Hypothesis Testing by Variance
                        Mixing
mixtwice                Large-scale hypothesis testing by variance
                        mixing
peptide_data            Peptide array data example

Author(s)

Zihao Zheng and Michael A.Newton

Maintainer: Zihao Zheng <zihao.zheng@wisc.edu>

References

Zheng et al. MixTwice: Large scale hypothesis testing for peptide arrays by variance mixing. Bioinformatics, 2021.

Zheng et al. Disordered Antigens and Epitope Overlap Between Anti Citrullinated Protein Antibodies and Rheumatoid Factor in Rheumatoid Arthritis. Arthritis & Rheumatology 72.2 (2020): 262-272.

Examples

data(peptide_data)
## For more detail and example, use ?peptide_data and ?mixtwice

[Package MixTwice version 2.0 Index]