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Statistical hypothesis tests based on Matrix data.
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package se.alipsa.groovy.stats.contingency
/**
* Fisher's exact test is a statistical significance test used in the analysis of contingency tables.
* Although in practice it is employed when sample sizes are small, it is valid for all sample sizes.
* It is named after its inventor, Ronald Fisher, and is one of a class of exact tests,
* so called because the significance of the deviation from a null hypothesis (e.g., p-value) can be calculated exactly,
* rather than relying on an approximation that becomes exact in the limit as the sample size grows to infinity,
* as with many other statistical tests.
*/
class Fisher {
}