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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.
Getting started
Browse package contents
Package details |
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| Author | Chaewon Lee [aut, cre], Jin Hee Yoon [ctb] |
| Maintainer | Chaewon Lee <chaewon.lee@unc.edu> |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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