stdlib-js/math-base-special-beta

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.

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

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

Natural exponential function.

Evaluate the natural logarithm of 1+x.

Exponential function.

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

Load a manifest for compiling source files.

Test if a value is NaN.

Double-precision floating-point positive infinity.

Read the entire contents of a file.

Write data to a file.

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

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.

Euler's number.

Inverse incomplete beta function.

Incomplete beta function and its first derivative.

Kumaraswamy's double bounded distribution excess kurtosis.

Kumaraswamy's double bounded distribution skewness.

Student's t distribution probability density function (PDF).

Kumaraswamy's double bounded distribution standard deviation.

Student's t distribution entropy.

Kumaraswamy's double bounded distribution variance.

Kumaraswamy's double bounded distribution expected value.

Beta distribution moment-generating function (MGF).

Create an iterator which evaluates the beta function.

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