This package implements the cumulative distribution function (CDF) for the negative‑binomial distribution in JavaScript, exposing a `cdf(x, r, p)` function and a factory for pre‑configuring the parameters. It is part of the stdlib scientific‑computing library and is intended for developers needing accurate statistical calculations in Node.js, browsers, or Deno environments.
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Support the dependencies of stdlib-js/stats-base-dists-negative-binomial-cdf
Double-precision floating-point positive infinity.
Test if a double-precision floating-point numeric value is NaN.
Incomplete beta function.
Round a double-precision floating-point number toward negative infinity.
Constant function.
Define a non-enumerable read-only property.
Insert array element values and the result of a callback function into a format string and print the result.
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.
Compute the absolute value of a double-precision floating-point number.
Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
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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