Package: fuzzyreg 0.6.2
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>.
Authors:
fuzzyreg_0.6.2.tar.gz
fuzzyreg_0.6.2.zip(r-4.5)fuzzyreg_0.6.2.zip(r-4.4)fuzzyreg_0.6.2.zip(r-4.3)
fuzzyreg_0.6.2.tgz(r-4.4-any)fuzzyreg_0.6.2.tgz(r-4.3-any)
fuzzyreg_0.6.2.tar.gz(r-4.5-noble)fuzzyreg_0.6.2.tar.gz(r-4.4-noble)
fuzzyreg_0.6.2.tgz(r-4.4-emscripten)fuzzyreg_0.6.2.tgz(r-4.3-emscripten)
fuzzyreg.pdf |fuzzyreg.html✨
fuzzyreg/json (API)
NEWS
| # Install 'fuzzyreg' in R: |
| install.packages('fuzzyreg', repos = c('https://nmartinkova.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:e3c61ed529. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 19 2024 |
| R-4.5-win | OK | Nov 19 2024 |
| R-4.5-linux | OK | Nov 19 2024 |
| R-4.4-win | OK | Nov 19 2024 |
| R-4.4-mac | OK | Nov 19 2024 |
| R-4.3-win | OK | Nov 19 2024 |
| R-4.3-mac | OK | Nov 19 2024 |
Exports:bfrldomflarflsfuzzifyfuzzylmGOFmoflroplrplrplrlsprodFuzzyprodSfuzzysumFuzzyTEF
