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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0 |
rolling linux/jammy R-4.5 | MixTwice_2.0.tar.gz |
2.0 MiB |
2.0 |
rolling linux/noble R-4.5 | MixTwice_2.0.tar.gz |
2.0 MiB |
2.0 |
rolling source/ R- | MixTwice_2.0.tar.gz |
2.0 MiB |
2.0 |
latest linux/jammy R-4.5 | MixTwice_2.0.tar.gz |
2.0 MiB |
2.0 |
latest linux/noble R-4.5 | MixTwice_2.0.tar.gz |
2.0 MiB |
2.0 |
latest source/ R- | MixTwice_2.0.tar.gz |
2.0 MiB |
2.0 |
2026-04-26 source/ R- | MixTwice_2.0.tar.gz |
2.0 MiB |
2.0 |
2026-04-23 source/ R- | MixTwice_2.0.tar.gz |
2.0 MiB |
2.0 |
2026-04-09 windows/windows R-4.5 | MixTwice_2.0.zip |
2.0 MiB |
2.0 |
2025-04-20 source/ R- | MixTwice_2.0.tar.gz |
2.0 MiB |