MultipleTesting (FSharp.Stats) | FSharp.Stats

FSharp.Stats

MultipleTesting Module

Namespace: FSharp.Stats.Testing
Assembly: FSharp.Stats.dll

This module contains functions to adjust for multiple testing errors in statistical tests.

Nested modules

Modules	Description
Qvalues	Estimate the q-values for a given set of p-values. The q-value of a test measures the proportion of false positives incurred (called the false discovery rate) when that particular test is called significant.

Functions and values

Function or value	Description
`benjaminiHochbergFDR rawPValues` Full Usage: `benjaminiHochbergFDR rawPValues` Parameters: rawPValues : `float seq` Returns: `float seq`	Benjamini-Hochberg Correction (BH) This function applies the Benjamini-Hochberg multiple testing correcture and returns all False Discovery Rates to which the given p-values are still significant. rawPValues : `float seq` Returns: `float seq`
`benjaminiHochbergFDRBy projection rawP` Full Usage: `benjaminiHochbergFDRBy projection rawP` Parameters: projection : `'a -> 'b * float` rawP : `'a seq` Returns: `('b * float) list` Modifiers: inline Type parameters: 'a, 'b	Benjamini-Hochberg Correction (BH) 'projection' should return a tuple of any identifier and the pValues as float, when applied to 'rawP' This function applies the Benjamini-Hochberg multiple testing correcture and returns all False Discovery Rates to which the given p-values are still significant. Note: corrected pValues are not sorted in original order! projection : `'a -> 'b * float` rawP : `'a seq` Returns: `('b * float) list`
`hochbergFWER p` Full Usage: `hochbergFWER p` Parameters: p : `float[]` Returns: `float[]` Modifiers: inline	Hochberg (step-up) FWER adjustment (NaN-safe) NaN p-values are ignored in the computation and preserved at their original indices. p : `float[]` Returns: `float[]`
`holmFWER p` Full Usage: `holmFWER p` Parameters: p : `float[]` Returns: `float[]` Modifiers: inline	Holm–Bonferroni (step-down) FWER adjustment (NaN-safe) NaN p-values are ignored in the computation and preserved at their original indices. p : `float[]` Returns: `float[]`