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

Double-precision floating-point negative infinity.

Double-precision floating-point positive infinity.

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

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

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

Evaluate the natural logarithm of the factorial function.

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

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

Constant function.

Define a non-enumerable read-only property.

Load a manifest for compiling source files.

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

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

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

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

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

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

Insert supplied variable values into a format string.

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.