stdlib-js/stats-base-dists-gamma-lo...

Gamma distribution logarithm of probability density function (PDF).

JavaScript

Apache License 2.0

This project is a JavaScript library for evaluating the natural logarithm of the probability density function (PDF) of a gamma distribution. It is part of the stdlib project, a standard library for numerical and scientific computing in JavaScript. The library is intended for developers working with statistical computations who need to calculate the log-PDF of gamma-distributed random variables.

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Support the dependencies of stdlib-js/stats-base-dists-gamma-logpdf

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

Maximum double-precision floating-point number.

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/constants-float64-pinf

Double-precision floating-point positive infinity.

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

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

stdlib-js/math-base-napi-ternary

C APIs for registering a Node-API module exporting an interface for invoking a ternary numerical function.

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-gamma

Gamma function.

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-gammaln

Natural logarithm 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/stats-base-dists-degenerate-logpdf

Degenerate distribution logarithm of probability density function (logPDF).

stdlib-js/utils-constant-function

Constant function.

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

Define a non-enumerable read-only property.

stdlib-js/utils-library-manifest

Load a manifest for compiling source files.

stdlib-js/array-float64

Float64Array.

stdlib-js/console-log-each-map

Insert array element values and the result of a callback function into a format string and print the result.

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/random-array-uniform

Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.

stdlib-js/random-base-uniform

Uniformly distributed pseudorandom numbers.

stdlib-js/utils-try-require

Wrap `require` in a try/catch block.

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