MixTwice-package: MixTwice-a package for large-scale hypothesis testing

In wiscstatman/MixTwice: MixTwice--a package for large-scale hypothesis testing

MixTwice–a package for large-scale hypothesis testing

Description

MixTwice is a R package for large-scale hypothesis testing. 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).

Details

The DESCRIPTION file: This package was not yet installed at build time.
Index: This package was not yet installed at build time.

Author(s)

Zihao Zheng and Michael A.Newton

Maintainer: Zihao Zheng <[e-mail]>

References

Zheng et al. MixTwice: Large scale hypothesis testing for peptide arrays by variance mixing. Technical Report, October 2020.

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.

See Also

https://onlinelibrary.wiley.com/doi/abs/10.1002/art.41074

Examples

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

wiscstatman/MixTwice documentation built on March 29, 2024, 12:28 p.m.