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truelies: Bayesian Methods to Estimate the Proportion of Liars in Coin Flip Experiments
Implements Bayesian methods, described in Hugh-Jones (2019) <doi:10.1007/s40881-019-00069-x>, for estimating the proportion of liars in coin flip-style experiments, where subjects report a random outcome and are paid for reporting a "good" outcome.
Getting started
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Package details |
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| Author | David Hugh-Jones <davidhughjones@gmail.com> |
| Maintainer | David Hugh-Jones <davidhughjones@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.2.0 |
| URL | https://github.com/hughjonesd/truelies |
| Package repository | View on CRAN |
| Installation |
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