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

Euler's number.

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

Maximum double-precision floating-point number.

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

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

Double-precision floating-point negative infinity.

Double-precision floating-point positive infinity.

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

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

Natural exponential function.

Gamma function.

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

Natural logarithm of the gamma function.

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

Evaluate the natural logarithm of 1+x.

Return the maximum value.

Return the minimum value.

Exponential function.

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

Degenerate distribution logarithm of probability density function (logPDF).

Constant function.

Define a non-enumerable read-only property.

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

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.