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
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 + file LICENSE
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

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