README.md

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

MixTwice

This is a Github reporsitory for MixTwice, an empirical Bayes approach for large-scale hypothesis testing. It is currently developed for the two-group comparison problem, and takes as input a vector of estimated effects (unit-specific differences between groups, such as log fold change) and a second vector of estimated standard errors for these effects. Using a shape-constrained, semi-parametric mixture model, it computes unit-specific local false discovery rates and local false sign rates, which may be used to prioritize units for follow-up analysis. Read a more complete description at Zheng et al, 2021, Bioinformatics.

MixTwice is available in CRAN, or here following the instructions below.

Install MixTwice R package:

1. To locally download the MixTwice package, you can use this link to download the .zip file and install on R.

2. Install from Github

install.packages("devtools")
devtools::install_github("wiscstatman/MixTwice")

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