Create an array containing pseudorandom numbers drawn from a Poisson distribution.
JavaScript
1
0
Apache License 2.0
This library generates arrays of pseudorandom numbers following a Poisson distribution, enabling statistical simulations and probabilistic modeling. It's designed for developers and researchers in JavaScript environments (browsers, Node.js)
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Support the dependencies of stdlib-js/random-array-poisson
Default array settings.
List of array data types.
Create a factory function for generating pseudorandom values drawn from a unary PRNG.
Poisson distributed random numbers.
stdlib TypeScript type declarations.
Define a non-enumerable read-only property.
Float32Array.
Float64Array.
Create an array filled with NaNs and having a specified length.
Uint32Array.
Create a zero-filled array having a specified length.
Test if a value is a Uint32Array.
Insert array element values into a format string and print the result.
Maximum unsigned 32-bit integer.
Test if a double-precision floating-point numeric value is NaN.
Test if a single-precision floating-point numeric value is NaN.
Exponential function.
A linear congruential pseudorandom number generator (LCG) based on Park and Miller.
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.
Support the repos that depend on stdlib-js/random-array-poisson
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