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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 |
| Reference manual: | flex.html , flex.pdf |
| Package source: | flex_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: flex_0.1.0.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): flex_0.1.0.tgz, r-oldrel (x86_64): flex_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.