This package provides a function to evaluate the cumulative distribution function (CDF) for the beta prime distribution, which is a continuous probability distribution used in statistics. It is part of the stdlib library, a standard library for JavaScript and Node.js with an emphasis on numerical and scientific computing. The package is intended for developers working on statistical analysis or probability calculations in JavaScript.
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Support the dependencies of stdlib-js/stats-base-dists-betaprime-cdf
Double-precision floating-point positive infinity.
Test if a double-precision floating-point numeric value is NaN.
Beta distribution cumulative distribution function (CDF).
Constant function.
Define a non-enumerable read-only property.
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.
Compute the absolute value of a double-precision floating-point number.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Insert supplied variable values into a format string.
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 ca
Minimal TAP output formatter.
Benchmark harness.
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