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Implements the Bayesian model selection method with suspected latent grouping factor methodology of Metzger and Franck (2020), <doi:10.1080/00401706.2020.1739561>. SLGF detects latent heteroscedasticity or group-based regression effects based on the levels of a user-specified categorical predictor.
| Version: | 2.0.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rdpack, numDeriv, utils |
| Suggests: | knitr, captioner, formatR, rcrossref, rmarkdown |
| Published: | 2022-11-21 |
| Author: | Thomas Metzger [aut, cre], Christopher Franck [aut] |
| Maintainer: | Thomas Metzger <metzger.181 at osu.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | slgf results |
| Reference manual: | slgf.pdf |
| Package source: | slgf_2.0.0.tar.gz |
| Windows binaries: | r-devel: slgf_2.0.0.zip, r-release: slgf_2.0.0.zip, r-oldrel: slgf_2.0.0.zip |
| macOS binaries: | r-release (arm64): slgf_2.0.0.tgz, r-oldrel (arm64): slgf_2.0.0.tgz, r-release (x86_64): slgf_2.0.0.tgz, r-oldrel (x86_64): slgf_2.0.0.tgz |
| Old sources: | slgf archive |
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