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Number::Fraction is a Perl module which allows you to work with fractions in your Perl programs.

Number::Misc provides some miscellaneous handy utilities for handling numbers. These utilities handle processing numbers as strings, determining basic properties of numbers, or selecting a random number from a range.

Set::IntSpan manages sets of integers. It is optimized for sets that have long runs of consecutive integers. These arise, for example, in .newsrc files, which maintain lists of articles: alt.foo: 1-21,28,31 alt.bar: 1-14192,14194,14196-14221 Sets are stored internally in a run-length coded form. This provides for both compact storage and efficient computation. In particular, set operations can be performed directly on the encoded representation.

A Set::Window object represents a window on the integer line; that is, a finite set of consecutive integers. Methods are provided for creating and modifying windows, for obtaining information about windows, and for performing some simple set operations on windows. -Anton <tobez@FreeBSD.org>

This module calculates the deviation from Benford's law.

Math::Symbolic is intended to offer symbolic calculation capabilities to the Perl programmer without using external (and commercial) libraries and/or applications. Possibly the most convenient way of constructing Math::Symbolic trees is using the builtin parser to generate trees from expressions such as '2 * x^5'. You may use the Math::Symbolic->parse_from_string() class method for this.

This module provides basic functions used in descriptive statistics. It has an object oriented design and supports two different types of data storage and calculation objects: sparse and full. With the sparse method, none of the data is stored and only a few statistical measures are available. Using the full method, the entire data set is retained and additional functions are available. -Anton <tobez@FreeBSD.org>

This is an Oriented Object module that calculates a future value by using existing values. The new value is calculated by using linear regression.

The Statistics::LineFit module does weighted or unweighted least-squares line fitting to two-dimensional data (y = a + b * x). (This is also called linear regression.) In addition to the slope and y-intercept, the module can return the square of the correlation coefficient (R squared), the Durbin-Watson statistic, the mean squared error, sigma, the t statistics, the variance of the estimates of the slope and y-intercept, the predicted y values and the residuals of the y values.

A Perl module that provides a mechanism to render (La)TeX formulae to ASCII art.