stdlib-js/stats-base-dists-negative...

Natural logarithm of the probability mass function (PMF) for a negative binomial distribution.

JavaScript

Apache License 2.0

This JavaScript library calculates the natural logarithm of the probability mass function for a negative binomial distribution, a statistical concept used to model the number of failures before a specified number of successes in a series of independent trials. It's designed for developers and data scientists working with probability distributions in JavaScript, particularly those using the stdlib library for numerical and scientific computing.

Total donated

Undistributed

Share with your subscribers:

Recipients

How the donated funds are distributed

Support the dependencies of stdlib-js/stats-base-dists-negative-binomial-logpmf

stdlib-js/constants-float64-e

Euler's number.

stdlib-js/constants-float64-gamma-lanczos-g

Arbitrary constant `g` to be used in Lanczos approximation functions.

stdlib-js/constants-float64-max-ln

Natural logarithm of the maximum double-precision floating-point number.

stdlib-js/constants-float64-min-ln

Natural logarithm of the smallest normalized double-precision floating-point number.

stdlib-js/constants-float64-ninf

Double-precision floating-point negative infinity.

stdlib-js/math-base-assert-is-nan

Test if a double-precision floating-point numeric value is NaN.

stdlib-js/math-base-assert-is-nonnegative-integer

Test if a finite double-precision floating-point number is a nonnegative integer.

stdlib-js/math-base-special-abs

Compute the absolute value of a double-precision floating-point number.

stdlib-js/math-base-special-exp

Natural exponential function.

stdlib-js/math-base-special-expm1

Compute exp(x) - 1.

stdlib-js/math-base-special-gamma-lanczos-sum-expg-scaled

Calculate a scaled Lanczos sum for the approximation of the gamma function.

stdlib-js/math-base-special-ln

Evaluate the natural logarithm of a double-precision floating-point number.

stdlib-js/math-base-special-log1p

Evaluate the natural logarithm of 1+x.

stdlib-js/math-base-special-max

Return the maximum value.

stdlib-js/math-base-special-min

Return the minimum value.

stdlib-js/math-base-special-pow

Exponential function.

stdlib-js/math-base-special-sqrt

Compute the principal square root of a double-precision floating-point number.

stdlib-js/utils-constant-function

Constant function.

stdlib-js/utils-define-nonenumerable-read-only-property

Define a non-enumerable read-only property.

stdlib-js/constants-float64-eps

Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.

stdlib-js/constants-float64-pinf

Double-precision floating-point positive infinity.

stdlib-js/math-base-special-ceil

Round a double-precision floating-point number toward positive infinity.

stdlib-js/math-base-special-round

Round a numeric value to the nearest integer.

stdlib-js/random-base-randu

Uniformly distributed pseudorandom numbers between 0 and 1.

stdlib-js/random-base-uniform

Uniformly distributed pseudorandom numbers.

tape-testing/tape

tap-producing test harness for node and browsers

gotwarlost/istanbul

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