slgf: Bayesian Model Selection with Suspected Latent Grouping Factors
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 |
Documentation:
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