This project is a JavaScript library that calculates the excess kurtosis of a negative binomial distribution, a measure of how much the distribution deviates from a normal distribution. It's part of the stdlib library, a standard library for JavaScript and Node.js with an emphasis on numerical and scientific computing. This package is intended for developers working on statistical analysis or probability calculations involving negative binomial distributions in JavaScript or Node.js environments.
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Support the dependencies of stdlib-js/stats-base-dists-negative-binomial-kurtosis
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.
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.
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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