fuzzyreg: Fuzzy Linear Regression

Estimators for fuzzy linear regression. The functions estimate parameters of fuzzy linear regression models with crisp or fuzzy independent variables (triangular fuzzy numbers are supported). Implements multiple methods for parameter estimation and algebraic operations with triangular fuzzy numbers. Includes functions for summarising, printing and plotting the model fit. Calculates predictions from the model and total error of fit. Diamond (1988) <doi:10.1016/0020-0255(88)90047-3>, Hung & Yang (2006) <doi:10.1016/j.fss.2006.08.004>, Lee & Tanaka (1999) <doi:10.15807/jorsj.42.98>, Nasrabadi, Nasrabadi & Nasrabady (2005) <doi:10.1016/j.amc.2004.02.008>, Tanaka, Hayashi & Watada (1989) <doi:10.1016/0377-2217(89)90431-1>, Zeng, Feng & Li (2017) <doi:10.1016/j.asoc.2016.09.029>.

Version: 0.5
Depends: R (≥ 3.4.0)
Imports: limSolve, quadprog, stats, graphics, grDevices
Suggests: testthat, FuzzyNumbers
Published: 2019-02-07
Author: Pavel Skrabanek [aut, cph], Natalia Martinkova [aut, cre, cph]
Maintainer: Natalia Martinkova <martinkova at ivb.cz>
License: GPL-3
NeedsCompilation: no
Citation: fuzzyreg citation info
Materials: NEWS
In views: Psychometrics
CRAN checks: fuzzyreg results


Reference manual: fuzzyreg.pdf
Vignettes: Getting Started with Fitting Fuzzy Linear Regression Models in R
Package source: fuzzyreg_0.5.tar.gz
Windows binaries: r-devel: fuzzyreg_0.5.zip, r-release: fuzzyreg_0.5.zip, r-oldrel: fuzzyreg_0.5.zip
OS X binaries: r-release: fuzzyreg_0.5.tgz, r-oldrel: fuzzyreg_0.5.tgz
Old sources: fuzzyreg archive


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