This package was removed from CRAN on 2026-01-25. Its history is shown below.
Reason: issues were not corrected in time. gcc 14 warns
Details below reflect version 0.1.3, its last release before removal.
Robust Bayesian Linear Mixed-Effects Models using ABC
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–downloads / year
–test coverage
–flavors OK
Overview
About
Bayesian robust fitting of linear mixed effects models through weighted likelihood equations and approximate Bayesian computation as proposed by Ruli et al. (2017) arXiv:1706.01752.
Install
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Advisories
Documentation
In release 0.1.3
READMEYes · 36 wordsVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
- Help pages
- 5
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 50%
- Documented parameters
- 92%
- Return-value docs
- 100%
- Help pages citing references
- 60%
Downloads
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Also on318 r2u2 autocran82 c2d4u
Dependencies
Declared dependencies
10 external dependencies (excludes base and recommended)
Depends (2)
R >= 3.0.0lme4
LinkingTo (2)
Suggests (1)
Enhances (0)
none
Code & Tests
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People & History
People (3)
Releases (2)
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2026-01-25issues were not corrected in time gcc 14 warns
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- unarchivedReturned to CRAN2018-01-30
- 0.1.32018-01-30 · diff ↗
- archivedRemoved from CRAN2018-01-26warnings were not corrected despite reminders
- 0.1.22017-06-08
- RR 3.4.0 released · 2017-04-21
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Package metadata
- First published
- 2017-06-08
- Total releases
- 2 / 9 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.0.0
- Bundled data
- 0.6 KB / 1 file
Cite
Cite this package
Run in R for the authors' entry:
citation("robustBLME")The package provides a citation file, so citation() returns the authors' own entry.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.