SAFD: Statistical Analysis of Fuzzy Data

The aim of the package is to provide some basic functions for doing statistics with one dimensional Fuzzy Data (in the form of polygonal fuzzy numbers). In particular, the package contains functions for the basic operations on the class of fuzzy numbers (sum, scalar product, mean, median, Hukuhara difference) as well as for calculating (Bertoluzza) distance, sample variance, sample covariance, and the Dempster-Shafer (levelwise) histogram. Moreover a function to simulate fuzzy random variables, bootstrap tests for the equality of means, and a function to do linear regression given trapezoidal fuzzy data is included. Version 1.0 fixes some bugs of previous versions.

Version: 1.0-1
Depends: R (≥ 3.0.1)
Published: 2015-12-11
Author: Wolfgang Trutschnig, Asun Lubiano
Maintainer: Asun Lubiano <lubiano at uniovi.es>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: SAFD results

Downloads:

Reference manual: SAFD.pdf
Package source: SAFD_1.0-1.tar.gz
Windows binaries: r-devel: SAFD_1.0-1.zip, r-release: SAFD_1.0-1.zip, r-oldrel: SAFD_1.0-1.zip
OS X El Capitan binaries: r-release: SAFD_1.0-1.tgz
OS X Mavericks binaries: r-oldrel: SAFD_1.0-1.tgz
Old sources: SAFD archive

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