The @stdlib/stats-base-dists-negative-binomial-mean package provides a single function that computes the expected value (mean) of a negative‑binomial distribution given the number of required successes `r` and the success probability `p`. It is a lightweight utility for JavaScript/Node.js (and C) developers performing statistical calculations, especially those working with probabilistic models or simulations that involve the negative‑binomial distribution.
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Support the dependencies of stdlib-js/stats-base-dists-negative-binomial-mean
Test if a double-precision floating-point numeric value is NaN.
C APIs for registering a Node-API module exporting an interface for invoking a binary numerical function.
Load a manifest for compiling source files.
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.
Double-precision floating-point positive infinity.
Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Wrap `require` in a try/catch block.
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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