slgf
2.0.0Bayesian Model Selection with Suspected Latent Grouping Factors
Overview
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.
Install
Health
- OK2026-08-0413 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 96%
- Return-value docs
- 100%
- References docs
- 88%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 2.0.0Latest
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1.02021-02-17
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-02-17
- Total releases
- 2 / 5 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 2.2 KB / 6 files
- Download size
- 36 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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