Wolfgang Trutschnig <wolfgang.trutschnig@softcomputing.es>,
Asun Lubiano <lubiano@uniovi.es>
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, Hukuhara difference)
as well as for calculating (Bertoluzza) distance, sample
variance, sample covariance, sample correlation, 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.

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, Hukuhara difference,
quantiles) as well as for calculating (Bertoluzza) distance,
sample variance, sample covariance, sample correlation, 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 0.3 fixes some bugs
of version 0.2 and includes an additional function to calculate
quantiles of samples of polygonal fuzzy numbers.

Wolfgang Trutschnig <wolfgang@trutschnig.net>, Asun Lubiano
<lubiano@uniovi.es>
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, Hukuhara difference,
quantiles) as well as for calculating (Bertoluzza) distance,
sample variance, sample covariance, sample correlation, 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 0.4 fixes some bugs
of version 0.3 and includes an additional function to calculate
quantiles of samples of polygonal fuzzy numbers.