This project, `stdlib-js/random-base-gamma`, generates pseudorandom numbers from a gamma distribution, a type of probability distribution used in statistics. It is designed for numerical and scientific computing in JavaScript and is part of the Stdlib standard library. The project provides a function for generating gamma-distributed random numbers, as well as a factory function for creating custom generators with specific parameters or seeds.
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Support the dependencies of stdlib-js/random-base-gamma
Return a JSON representation of a typed array.
Uint32Array.
Test if an object has a specified property.
Test if a value is a boolean.
Test if a value is a function.
Test if a value is a plain object.
Test if a value is a number having a positive value.
Test if a value is a Uint32Array.
Copy values from x into y.
Test if a double-precision floating-point numeric value is NaN.
Evaluate the natural logarithm of a double-precision floating-point number.
Exponential function.
Compute the principal square root of a double-precision floating-point number.
Copy enumerable own properties from one or more source objects to a target object.
Normally distributed pseudorandom numbers using the improved Ziggurat method.
A 32-bit Mersenne Twister pseudorandom number generator.
Insert supplied variable values into a format string.
stdlib TypeScript type declarations.
Constant function.
Define a non-enumerable read-only accessor.
Define a non-enumerable read-only property.
Define a non-enumerable read-write accessor.
Function which does nothing.
Format an error message for production.
Create a zero-filled generic array.
Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.
Maximum unsigned 32-bit integer.
Object containing the user environment.
A linear congruential pseudorandom number generator (LCG) based on Park and Miller.
Uniformly distributed pseudorandom numbers between 0 and 1.
One-sample Kolmogorov-Smirnov goodness-of-fit test.
Time in seconds since the epoch.
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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