This JavaScript package calculates the cumulative distribution function (CDF) for the Rayleigh distribution, a probability distribution commonly used in statistics and data analysis. It's designed for developers working on numerical and scientific computing applications who need to perform statistical calculations in JavaScript or Node.js environments. The package is part of stdlib, a comprehensive standard library for mathematical and scientific computing.
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Support the dependencies of stdlib-js/stats-base-dists-rayleigh-cdf
Test if a double-precision floating-point numeric value is NaN.
C APIs for registering a Node-API module exporting an interface for invoking a binary numerical function.
Natural exponential function.
Exponential function.
Degenerate distribution cumulative distribution function (CDF).
Constant function.
Define a non-enumerable read-only property.
Load a manifest for compiling source files.
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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.
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.
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 ca
Minimal TAP output formatter.
Benchmark harness.
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