This package provides functions for sampling elements from an array-like object, allowing users to specify sample size, sampling with or without replacement, and custom probability distributions. It's designed for developers working on statistical analysis, simulations, or any application requiring random sampling from data collections.
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Support the dependencies of stdlib-js/random-sample
Copy the elements of an array-like object to a new generic array.
Test if an object has a specified property.
Test if a value is array-like.
Test if a value is a boolean.
Test if a value is a number having a nonnegative integer value.
Test if a value is a plain object.
Test if a value is a string.
Test if a value is typed-array-like.
Test if a value is an array of probabilities that sum to one.
Round a double-precision floating-point number toward negative infinity.
A 32-bit Mersenne Twister pseudorandom number generator.
Insert supplied variable values into a format string.
stdlib TypeScript type declarations.
Copy or deep clone a value to an arbitrary depth.
Define a non-enumerable read-only property.
Format an error message for production.
Float64Array.
Int16Array.
Int32Array.
Int8Array.
Test if a value is an array.
Test if a value is an array-like object of numbers.
Test if a value is an array of strings.
Test if a value is a Uint32Array.
Uniformly distributed pseudorandom numbers between 0 and 1.
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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