Package: fuzzyreg
Title: Fuzzy Linear Regression
Version: 0.6.2
Authors@R: c(person(given = "Pavel", family = "Skrabanek", email = "pavel.skrabanek@vut.cz", 
    role = c("aut", "cph")), 
    person(given = "Natalia", family = "Martinkova", email = "martinkova@ivb.cz", 
    role = c("aut", "cre", "cph")))
Author: Pavel Skrabanek [aut, cph],
  Natalia Martinkova [aut, cre, cph]
Maintainer: Natalia Martinkova <martinkova@ivb.cz>
Description: 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. Individual methods are described in
    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>,
	Skrabanek, Marek & Pozdilkova (2021) <doi:10.3390/math9060685>,
	Tanaka, Hayashi & Watada (1989) <doi:10.1016/0377-2217(89)90431-1>,
	Zeng, Feng & Li (2017) <doi:10.1016/j.asoc.2016.09.029>.
Depends: R (>= 3.4.0),
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: limSolve, quadprog, stats, graphics, grDevices
RoxygenNote: 7.2.3
Suggests: testthat, FuzzyNumbers, knitr, rmarkdown, bookdown
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2023-03-10 08:55:55 UTC; martinkova
Repository: CRAN
Date/Publication: 2023-03-10 09:30:13 UTC
