Beta distribution.
JavaScript
4
0
Apache License 2.0
This package provides functions for working with the Beta distribution, including probability density, cumulative distribution, and quantile functions, as well as statistical properties like mean, variance, and entropy. It's designed for developers working on statistical computing, data analysis, or scientific applications in JavaScript who need to model and analyze data using Beta distributions.
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Support the dependencies of stdlib-js/stats-base-dists-beta
Beta distribution cumulative distribution function (CDF).
Beta distribution constructor.
Beta distribution differential entropy.
Beta distribution excess kurtosis.
Beta distribution logarithm of cumulative distribution function (CDF).
Beta distribution logarithm of probability density function (PDF).
Beta distribution expected value.
Beta distribution median.
Beta distribution moment-generating function (MGF).
Beta distribution mode.
Beta distribution probability density function (PDF).
Beta distribution quantile function.
Beta distribution skewness.
Beta distribution standard deviation.
Beta 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.
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.
Beta function.
Incomplete beta function.
Inverse incomplete beta function.
Natural logarithm of the beta function.
Digamma function.
Natural exponential function.
Evaluate the natural logarithm of a double-precision floating-point number.
Evaluate the natural logarithm of 1+x.
Compute the principal square root of a double-precision floating-point number.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Uniformly distributed pseudorandom numbers between 0 and 1.
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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