The reliability of statistical functions in four software packages freely used in numerical computation

The reliability of statistical functions in four software packages freely used in numerical computation

Marcelo G. Almiron, Eliana S. Almeida, and Marcio N. Miranda

Source: Braz. J. Probab. Stat. Volume 23, Number 2 (2009), 107-119.

Abstract

This work presents a comparison of results about the accuracy of statistical routines from four statistical software packages that are freely used: Octave, academic Ox, Python, and R. Having extensive functional libraries for statistical computing with applications in image processing, these software packages are useful for data analysis and visualization. The National Institute of Standards and Technology datasets and McCullough’s methodology are used for assessing these packages. As to the statistical analysis herein performed, R yielded the best results and had the most comprehensive library.

Keywords: Statistical software; numerical computation; software accuracy

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Permanent link to this document: http://projecteuclid.org/euclid.bjps/1256562753
Digital Object Identifier: doi:10.1214/08-BJPS017

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