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flex: Fuzzy Linear Squares Estimation with Explicit Formula (FLEX)

The FLEX method, developed by Yoon and Choi (2013) <doi:10.1007/978-3-642-33042-1_21>, performs least squares estimation for fuzzy predictors and outcomes, generating crisp regression coefficients by minimizing the distance between observed and predicted outcomes. It also provides functions for fuzzifying data and inference tasks, including significance testing, fit indices, and confidence interval estimation.

Version:	0.1.0
Depends:	R (≥ 3.5.0)
Imports:	ggplot2,plotly,rlang,magrittr
Published:	2025-09-02
DOI:	10.32614/CRAN.package.flex
Author:	Chaewon Lee [aut, cre], Jin Hee Yoon [ctb]
Maintainer:	Chaewon Lee <chaewon.lee at unc.edu>
BugReports:	https://github.com/cwlee-quantpsych/flex/issues
License:	MIT + fileLICENSE
NeedsCompilation:	no
CRAN checks:	flex results

Documentation:

Reference manual:

flex.html ,flex.pdf

Downloads:

Package source:	flex_0.1.0.tar.gz
Windows binaries:	r-devel:flex_0.1.0.zip, r-release:flex_0.1.0.zip, r-oldrel:flex_0.1.0.zip
macOS binaries:	r-release (arm64):flex_0.1.0.tgz, r-oldrel (arm64):flex_0.1.0.tgz, r-release (x86_64):flex_0.1.0.tgz, r-oldrel (x86_64):flex_0.1.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=flexto link to this page.