Statistics Packages

Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using a second-order iterative Kahan–Babuška algorithm.

Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using ordinary recursive summation.

Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using pairwise summation.

Calculate the sum of single-precision floating-point strided array elements.

Calculate the sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.

Calculate the sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.

Calculate the sum of single-precision floating-point strided array elements using ordinary recursive summation.

Calculate the sum of single-precision floating-point strided array elements using pairwise summation.

Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using extended accumulation.

A package to execute a Chi-Square Test with some additional metrics.

<a href="https://nivo.rocks"><img alt="nivo" src="https://raw.githubusercontent.com/plouc/nivo/master/nivo.png" width="216" height="68"/></a>

It is a lightweight and easy-to-use library for Node.js that offers basic functions essential for simple statistical analysis

Triangular distribution logarithm of cumulative distribution function (CDF).

Triangular distribution logarithm of probability density function (PDF).

Triangular distribution expected value.

Triangular distribution median.

Triangular distribution moment-generating function (MGF).

Triangular distribution mode.

Triangular distribution probability density function (PDF).

Triangular distribution quantile function.