stdlib-js/math-base-special-gamma

Double-precision floating-point negative infinity.

π.

Double-precision floating-point positive infinity.

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

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

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

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

Natural exponential function.

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

Exponential function.

Compute the sine of a number.

Load a manifest for compiling source files.

Generate a linearly spaced numeric array according to a provided increment.

Generate a linearly spaced numeric array.

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

Maximum double-precision floating-point number.

Read the entire contents of a file.

Write data to a file.

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

Evaluate the signum function for a double-precision floating-point number.

Compile a module for evaluating a polynomial.

Compile a C function for evaluating a polynomial.

Compile a module for evaluating a rational function.

Compile a C function for evaluating a rational function.

Uniformly distributed pseudorandom numbers between 0 and 1.

Insert supplied variable values into a format string.

Return the part of a string after a specified substring.

Return the part of a string before a specified substring.

Current year.

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 cases including unit tests, server side functional tests and browser tests. Built for scale

Minimal TAP output formatter.

Benchmark harness.

The Euler-Mascheroni constant.

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

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

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

Square root of double-precision floating-point epsilon.

Return the maximum value.

Compute sin(πx).

Square root of 2π.

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

Test if a finite numeric value is an odd number.

Natural logarithm of the beta function.

Incomplete gamma function.

Evaluate a factorial.

Compute the ratio of two gamma functions.

Chi distribution expected value.

Inverse incomplete gamma function.

Riemann Zeta function.

Gamma distribution logarithm of probability density function (PDF).

Weibull distribution expected value.

Incomplete beta function and its first derivative.

Gamma distribution probability density function (PDF).

Weibull distribution variance.

Compute gamma(x+1) - 1.

Inverse gamma distribution differential entropy.

Weibull distribution standard deviation.

Weibull distribution moment-generating function (MGF).

Gumbel distribution moment-generating function (MGF).

Fréchet distribution variance.

Fréchet distribution expected value.

Chi distribution probability density function (PDF).

Erlang distribution differential entropy.

Fréchet distribution kurtosis.

Weibull distribution skewness.

Weibull distribution excess kurtosis.

Fréchet distribution skewness.

Chi-squared distribution entropy.

Fréchet distribution standard deviation.

Base (i.e., lower-level) special math functions.

Create an iterator which evaluates the gamma function for each iterated value.