Module to compute common statistical measure on array

Contains correlation functions for different data types

Functions for computing distances of elements or sets

Module to

This module contains functionalities to perform various interpolation methods for two dimensional data.

This type contains functionalities to perform various interpolation methods for two dimensional data. It summarizes functions contained within the interpolation module.

This type summarizes coefficient types from various interpolation methods.

Lets the user choose between 5 interpolation methods. One simply connects dots (LinearSpline), one forms a single interpolating polynomial (Polynomial, and three of them employ piecewise cubic polynomials.

Represents an interval between two values of type 'a, which can be either inclusive or exclusive.

A general read-only 2D table abstraction.

A read/write extension (if you need mutability)

Module to compute common statistical measure on list

Module to strore specialised computations on maps

Operations module

The Permutation module defines a type and helper functions for representing and constructing permutations from integer arrays.

A permutation represented as a function from indices to indices. If P is a Permutation, then P(i) gives the new row index for row i (or vice versa).

Module to estimate different quantile measures

Module to estimate different quantile measures

Uniform random number generators

The rank of a number is its size relative to other values in a sequence

Module to compute common statistical measures.

Module to compute summary statistics for a collection of numeric values, including the count, mean, M2 (sum of squared deviations), minimum, and maximum.

A 2D table with generic row‐labels and column‐labels, backed by a flattened Matrix<'T>