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

Arcsine distribution mode.

Python

Apache License 2.0

This project provides a JavaScript function to calculate the mode of an arcsine distribution, which is a statistical concept where the mode equals the minimum support value. It's part of stdlib, a comprehensive JavaScript library for numerical and scientific computing, and is intended for developers working with statistical distributions and probability theory in JavaScript applications.

Total donated

Undistributed

Share with your subscribers:

Recipients

How the donated funds are distributed

Support the dependencies of stdlib-js/stats-base-dists-arcsine-mode

stdlib-js/math-base-assert-is-nan

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

stdlib-js/math-base-napi-binary

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

stdlib-js/utils-library-manifest

Load a manifest for compiling source files.

stdlib-js/console-log-each-map

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

stdlib-js/constants-float64-ninf

Double-precision floating-point negative infinity.

stdlib-js/constants-float64-pinf

Double-precision floating-point positive infinity.

stdlib-js/random-array-uniform

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

stdlib-js/string-format

Insert supplied variable values into a format string.

stdlib-js/utils-try-require

Wrap `require` in a try/catch block.

tape-testing/tape

tap-producing test harness for node and browsers

gotwarlost/istanbul

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