SLRMss
1.1.0Symmetric Linear Regression Models for Small Samples
Overview
Ordinary and modified statistics for symmetrical linear regression models with small samples. The supported ordinary statistics include Wald, score, likelihood ratio and gradient. The modified statistics include score, likelihood ratio and gradient. Diagnostic tools associated with the fitted model are implemented. For more details see Medeiros and Ferrari (2017) DOI:10.1111/stan.12107.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 10%
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.
- 1.1.0Latest
- RR 4.6.0 released · 2026-04-24
- 1.0.02026-03-10
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-07-09
- Total releases
- 2 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 0.7 KB / 2 files
- Download size
- 14 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("SLRMss")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.