Summary

Latest Version	Unknown
License	Apache-2.0 License
CI Status	Failing
Downloads	0
Last Indexed	2026-07-21 05:24

Installation

nimble install statistical_tests

choosenim install statistical_tests

git clone https://github.com/ayman-albaz/statistical-tests

OS Compatibility

Platform	Linux	macOS	Windows	FreeBSD	OpenBSD	NetBSD	Android	iOS	WASM	Embedded
statistical_tests	✓	✓	✓	-	-	-	-	-	-	-

Source

Repository	https://github.com/ayman-albaz/statistical-tests
Homepage	https://github.com/ayman-albaz/statistical-tests
Registry Source	nimble_official

README

Statistical Tests

Statistical tests is a Nim library for performing statistical tests.

Supported Statistical Tests

Statistical Test	Command
Binomial Test	`binomialTest(x, n: int, p:float, confidenceIntervalAlpha: float = 0.05)`
Chi2 Test	`chi2Test(observedValues: seq[SomeNumber], expectedValues: seq[SomeNumber], confidenceIntervalAlpha: float = 0.05)`
Chi2 Contingency Test	`chi2ContingencyTest(observedValues: seq[seq[SomeNumber]])`
F Test	`fTest(x1, x2: seq[SomeNumber], confidenceIntervalAlpha: float = 0.05)`
One sample t-test	`oneSampleTTest(x: seq[SomeNumber], expectedMean: float = 0.0, confidenceIntervalAlpha: float = 0.05)`
Equal variance t-test	`equalVarianceTTest(x1, x2: seq[SomeNumber], expectedMean: float = 0.0)`
Unequal variance t-test	`unequalVarianceTTest(x1, x2: seq[SomeNumber], expectedMean: float = 0.0)`
One sample z-test	`oneSampleZTest(x: seq[SomeNumber], expectedMean: float = 0.0, confidenceIntervalAlpha: float = 0.05)`
Equal variance z-test	`equalVarianceZTest(x1, x2: seq[SomeNumber], expectedMean: float = 0.0)`
Unequal variance z-test	`unequalVarianceZTest(x1, x2: seq[SomeNumber], expectedMean: float = 0.0)`

Example

let stats = oneSampleZTest([1, 2, 3, 4, 5, 6])
echo stats.numberObservations
echo stats.observedMean
echo stats.expectedMean
echo stats.standardError
echo stats.zStatistic
echo stats.pValue
echo stats.confidenceInterval

Accuracy

All functions in this library are accurate up-to 14 decimal places (float64).

TODO

List is organized from most important to least important: - Add more statistical tests on an as-need-bases. - Some statistical tests require certain distributions from the distributions.nim library, so add more distributions there.

Performance, feature, and documentation PR's are always welcome.

Contact

I can be reached at aymanalbaz98@gmail.com

statistical_tests