Fréchet distribution mode.
Python
2
0
Apache License 2.0
This project provides a JavaScript library for calculating the mode of a Fréchet distribution, a statistical measure used in probability theory and statistics. It is part of the stdlib library, a comprehensive standard library for JavaScript and Node.js focused on numerical and scientific computing. The library is designed for developers and researchers working with statistical distributions and probability calculations.
Total donated
Undistributed
Share with your subscribers:
Recipients
How the donated funds are distributed
Support the dependencies of stdlib-js/stats-base-dists-frechet-mode
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 ternary numerical function.
Exponential function.
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.
Uniformly distributed pseudorandom numbers between 0 and 1.
Uniformly distributed pseudorandom numbers.
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.
Support the repos that depend on this repository
Top contributors
stdlib-bot
74 contributions
Recent events
Kivach works on the Obyte network, and therefore you can track all donations.
No events yet
