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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 |
| Reference manual: | MixTwice.pdf |
| 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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.