This project provides a JavaScript implementation of the cumulative distribution function (CDF) for the Erlang distribution, a special case of the gamma distribution where the shape parameter is constrained to natural numbers. It's part of stdlib, a standard library for numerical and scientific computing in JavaScript, and is designed for developers working on statistical computations or simulations that require Erlang distribution calculations.
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Support the dependencies of stdlib-js/stats-base-dists-erlang-cdf
Test if a finite double-precision floating-point number is a nonnegative integer.
Gamma distribution cumulative distribution function (CDF).
Constant function.
Define a non-enumerable read-only property.
Float64Array.
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.
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.
Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Discrete uniform distributed pseudorandom numbers.
Uniformly distributed pseudorandom numbers.
Insert supplied variable values into a format string.
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 ca
Minimal TAP output formatter.
Benchmark harness.
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