This package generates pseudorandom numbers drawn from an arcsine distribution, which is useful for statistical simulations and probability modeling. It's part of stdlib, a comprehensive JavaScript library for numerical and scientific computing, making it ideal for developers working on data analysis, scientific computing, or any application requiring precise statistical distributions.
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Support the dependencies of stdlib-js/random-base-arcsine
Return a JSON representation of a typed array.
Test if an object has a specified property.
Test if a value is a function.
Test if a value is NaN.
Test if a value is a number.
Test if a value is a plain object.
1/2 times π.
Test if a double-precision floating-point numeric value is NaN.
Exponential function.
Compute the sine of a number.
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.
Uint32Array.
Test if a value is a Uint32Array.
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.
A linear congruential pseudorandom number generator (LCG) whose output is shuffled.
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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