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multtest

> adjustments of p-values for multiple comparisons

Installation

``
npm install multtest
`

Usage:

Require as follows:

`
var multtest = require('multtest');
`

multtest exports the following functions:

.bonferroni(pvalues,[numHypotheses])

Given an input array of pvalues, pvalues, this function calculates the Bonferroni correction by multiplying each p-value by m, the number of tested hypotheses. This is by default equal to the length of the pvalues array, but can be optionally supplied via the numHypotheses parameter.

.fdr(pvalues,[numHypotheses])

Given an input array of pvalues, pvalues, the .fdr function calculates the false-discovery-rate adjusted p-values.

.bY(pvalues,[numHypotheses])

Given an input array of pvalues, pvalues, the .bY function calculates adjusted p-values according to the method by Benjamini & Yekutieli.

.adjustSignificanceLevel(pvalues, alpha)


This function can be used in the construction of FDR adjusted confidence intervals. It has two parameters: pvalues
is an array of p-values, alpha is the significance level we wish to control the FDR at. The function returns an adjusted signficance level alpha_fdr
which has to be used as the nominal significance level when constructing confidence intervals.
It is calculated via the formula

alpha_fdr = ( (k + 1) / m ) * alpha,

where m is the total number of hypotheses and k` is the number of rejected hypotheses.

License

MIT © Philipp Burckhardt

[npm-url]: https://npmjs.org/package/multtest
[npm-image]: https://badge.fury.io/js/multtest.svg
[travis-url]: https://travis-ci.org/Planeshifter/multtest
[travis-image]: https://travis-ci.org/Planeshifter/multtest.svg?branch=master
[daviddm-url]: https://david-dm.org/Planeshifter/multtest.svg?theme=shields.io
[daviddm-image]: https://david-dm.org/Planeshifter/multtest