Degenerate distribution probability mass function (PMF).
Python
1
0
Apache License 2.0
The @stdlib/stats-base-dists-degenerate-pmf package provides a tiny, pure‑JavaScript (and C) implementation of the probability‑mass function for a degenerate (point‑mass) distribution, returning 1 when the input equals the distribution’s constant µ and 0 otherwise. It is aimed at developers and researchers needing reliable, low‑overhead statistical primitives for numerical computing in Node.js, browsers, Deno, or other environments that use the stdlib scientific‑computing suite.
Total donated
Undistributed
Share with your subscribers:
Recipients
How the donated funds are distributed
Support the dependencies of stdlib-js/stats-base-dists-degenerate-pmf
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.
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.
Round a double-precision floating-point number toward positive infinity.
Round a numeric value to the nearest integer.
Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
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 ca
Minimal TAP output formatter.
Benchmark harness.
Support the repos that depend on this repository
Top contributors
stdlib-bot
73 contributions
Recent events
Kivach works on the Obyte network, and therefore you can track all donations.
No events yet