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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>.
Version: | 0.6.2 |
Depends: | R (≥ 3.4.0) |
Imports: | limSolve, quadprog, stats, graphics, grDevices |
Suggests: | testthat, FuzzyNumbers, knitr, rmarkdown, bookdown |
Published: | 2023-03-10 |
DOI: | 10.32614/CRAN.package.fuzzyreg |
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 |
CRAN checks: | fuzzyreg results |
Reference manual: | fuzzyreg.pdf |
Vignettes: |
Getting Started with Fitting Fuzzy Linear Regression Models in R |
Package source: | fuzzyreg_0.6.2.tar.gz |
Windows binaries: | r-devel: fuzzyreg_0.6.2.zip, r-release: fuzzyreg_0.6.2.zip, r-oldrel: fuzzyreg_0.6.2.zip |
macOS binaries: | r-release (arm64): fuzzyreg_0.6.2.tgz, r-oldrel (arm64): fuzzyreg_0.6.2.tgz, r-release (x86_64): fuzzyreg_0.6.2.tgz, r-oldrel (x86_64): fuzzyreg_0.6.2.tgz |
Old sources: | fuzzyreg archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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