Calculating Data Agreement Criterion Scores to Rank Experts Based on Their Beliefs
Overview
Allows to calculate Data Agreement Criterion (DAC) scores. This can be done to determine prior-data conflict or to evaluate and compare multiple priors, which can be experts' predictions. Bousquet (2008) <doi.org/10.1080/02664760802192981>.
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Documentation
- Help pages
- 3
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 0%
- Help pages citing references
- 100%
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People & History
Maintainer since 0.1.0 (2017)
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- RR 4.1.0 released · 2021-05-18
- archivedRemoved from CRAN2020-11-17the request of the maintainer
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.1.1
- RR 3.5.0 released · 2018-04-23
- 0.1.02017-09-08
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2017-09-08
- Total releases
- 2 / 9 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 1.1 KB / 1 file
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citation("DAC")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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