Package: MixTwice 2.0

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>.

Authors:Zihao Zheng and Michael A.Newton

MixTwice_2.0.tar.gz
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MixTwice_2.0.tgz(r-4.5-any)MixTwice_2.0.tgz(r-4.4-any)MixTwice_2.0.tgz(r-4.3-any)
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MixTwice.pdf |MixTwice.html
MixTwice/json (API)

# Install 'MixTwice' in R:
install.packages('MixTwice', repos = c('https://zzheng68.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 scripts 154 downloads 1 mentions 1 exports 15 dependencies

Last updated 3 years agofrom:f31a2993c7. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 18 2025
R-4.5-winNOTEMar 18 2025
R-4.5-macNOTEMar 18 2025
R-4.5-linuxNOTEMar 18 2025
R-4.4-winNOTEMar 18 2025
R-4.4-macNOTEMar 18 2025
R-4.4-linuxNOTEMar 18 2025
R-4.3-winNOTEMar 18 2025
R-4.3-macNOTEMar 18 2025

Exports:mixtwice

Dependencies:alabamaashretrunctfdrtoolinvgammairlbaIsolatticeMatrixmixsqpnumDerivRcppRcppArmadilloSQUAREMtruncnorm