MixTwice: Large-Scale Hypothesis Testing by Variance Mixing

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>.

Version:	2.0
Depends:	R (≥ 3.5.0)
Imports:	alabama, ashr, fdrtool, Iso, stats
Published:	2022-03-02
DOI:	10.32614/CRAN.package.MixTwice
Author:	Zihao Zheng and Michael A.Newton
Maintainer:	Zihao Zheng <zihao.zheng at wisc.edu>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	MixTwice results

Documentation:

Reference manual:

MixTwice.pdf

Downloads:

Package source:	MixTwice_2.0.tar.gz
Windows binaries:	r-devel: MixTwice_2.0.zip, r-release: MixTwice_2.0.zip, r-oldrel: MixTwice_2.0.zip
macOS binaries:	r-release (arm64): MixTwice_2.0.tgz, r-oldrel (arm64): MixTwice_2.0.tgz, r-release (x86_64): MixTwice_2.0.tgz, r-oldrel (x86_64): MixTwice_2.0.tgz
Old sources:	MixTwice archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MixTwice to link to this page.