Chi-squared distribution.
JavaScript
2
0
Apache License 2.0
This package provides functions for working with the chi-squared distribution, a common statistical distribution used in hypothesis testing and confidence interval estimation. It's part of the stdlib JavaScript library and is intended for developers and data scientists working on statistical analysis and scientific computing in JavaScript environments.
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Support the dependencies of stdlib-js/stats-base-dists-chisquare
Chi-squared distribution cumulative distribution function (CDF).
Chi-squared distribution constructor.
Chi-squared distribution entropy.
Chi-squared distribution kurtosis.
Natural logarithm of the probability density function (PDF) for a chi-squared distribution.
Chi-squared distribution expected value.
Chi-squared distribution median.
Chi-squared distribution moment-generating function (MGF).
Chi-squared distribution mode.
Chi-squared distribution probability density function (PDF).
Chi-squared distribution quantile function.
Chi-squared distribution skewness.
Chi-squared distribution standard deviation.
Chi-squared distribution variance.
Define a read-only property.
Test if an object has a specified property.
Test if a value is a function.
Test if a value is a number having a positive value.
Insert array element values and the result of a callback function into a format string and print the result.
Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.
Double-precision floating-point negative infinity.
Double-precision floating-point positive infinity.
Test if a double-precision floating-point numeric value is NaN.
Compute the absolute value of a double-precision floating-point number.
Digamma function.
Gamma function.
Evaluate the natural logarithm of a double-precision floating-point number.
Return the maximum value.
Exponential function.
Round a double-precision floating-point number to the nearest multiple of 10^n.
Compute the principal square root of a double-precision floating-point number.
Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Uniformly distributed pseudorandom numbers between 0 and 1.
Gamma distribution cumulative distribution function (CDF).
Gamma distribution logarithm of probability density function (PDF).
Gamma distribution probability density function (PDF).
Gamma distribution quantile function.
Insert supplied variable values into a format string.
Constant function.
Define a non-enumerable read-only accessor.
Define a non-enumerable read-only property.
Define (or modify) an object property.
Return an array of an object's own enumerable property names.
Wrap `require` in a try/catch block.
tap-producing test harness for node and browsers
Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale
Minimal TAP output formatter.
Benchmark harness.
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