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. 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 |
Documentation:
Downloads:
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