Negative binomial distribution constructor.
JavaScript
2
0
Apache License 2.0
This repository provides a constructor for creating negative binomial distribution objects, which model the number of successes in a sequence of independent yes/no experiments before a specified number of failures occur. The project is part of stdlib, a JavaScript standard library focused on numerical and scientific computing, and is intended for developers working on statistical analysis, probability modeling, or similar computational tasks that require negative binomial distribution functionality.
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Support the dependencies of stdlib-js/stats-base-dists-negative-binomial-ctor
Test if a value is a number having a positive value.
Test if a value is a probability.
Negative binomial distribution cumulative distribution function (CDF).
Negative binomial distribution excess kurtosis.
Natural logarithm of the probability mass function (PMF) for a negative binomial distribution.
Negative binomial distribution expected value.
Negative binomial distribution moment-generating function (MGF).
Negative binomial distribution mode.
Negative binomial distribution probability mass function (PMF).
Negative binomial distribution quantile function.
Negative binomial distribution skewness.
Negative binomial distribution standard deviation.
Negative binomial distribution variance.
Insert supplied variable values into a format string.
Define a non-enumerable read-only accessor.
Define a non-enumerable read-only property.
Define (or modify) an object property.
Format an error message for production.
Test if an object has a specified property.
Test if a value is a function.
Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.
Test if a double-precision floating-point numeric value is NaN.
Round a double-precision floating-point number toward positive infinity.
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 cases including unit tests, server side functional tests and browser tests. Built for scale
Minimal TAP output formatter.
Benchmark harness.
Support the repos that depend on stdlib-js/stats-base-dists-negative-binomial-ctor
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