Erlang distribution moment-generating function (MGF).
JavaScript
1
0
Apache License 2.0
This project provides a JavaScript library for evaluating the moment-generating function (MGF) of the Erlang distribution, a continuous probability distribution. It is designed for developers working on statistical computing, simulations, or mathematical modeling in JavaScript, particularly those using the stdlib library for numerical and scientific computations.
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Support the dependencies of stdlib-js/stats-base-dists-erlang-mgf
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 ternary numerical function.
Exponential function.
Constant function.
Define a non-enumerable read-only property.
Load a manifest for compiling source files.
Float64Array.
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.
Compute the absolute value of a double-precision floating-point number.
Round a numeric value to the nearest integer.
Discrete uniform distributed pseudorandom numbers.
Uniformly distributed pseudorandom numbers between 0 and 1.
Uniformly distributed pseudorandom numbers.
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.
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