This is a crate to perform pvalue adjustments for multiple hypothesis tests and is inspired by the R function p.adjust.
There are currently only three methods available: Bonferroni, Benjamini-Hochberg, and Benjamini-Yekutieli.
This crate gives a single interface for each of these multiple hypothesis corrections and does not expect the p-values to be presorted before calculating.
The main interface for the tests is through the adjust function, which takes a slice of f64 and a Procedure.
If you are using ndarray you can use this easily with the .as_slice() function.
Here's an example for a Bonferroni correction.
use adjustp::{adjust, Procedure};
let pvalues = vec![0.1, 0.2, 0.3, 0.4, 0.1];
let qvalues = adjust(&pvalues, Procedure::Bonferroni);
assert_eq!(qvalues, vec![0.5, 1.0, 1.0, 1.0, 0.5]);And another example for a BenjaminiHochberg adjustment.
use adjustp::{adjust, Procedure};
let pvalues = vec![0.1, 0.2, 0.3, 0.4, 0.1];
let qvalues = adjust(&pvalues, Procedure::BenjaminiHochberg);
assert_eq!(qvalues, vec![0.25, 0.33333333333333337, 0.375, 0.4, 0.25]);And another example for a BenjaminiYekutieli adjustment.
use adjustp::{adjust, Procedure};
let pvalues = vec![0.1, 0.2, 0.3, 0.4, 0.1];
let qvalues = adjust(&pvalues, Procedure::BenjaminiYekutieli);
assert_eq!(qvalues, vec![0.5708333333333333, 0.7611111111111111, 0.8562500, 0.91333333333333333, 0.5708333333333333]);