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.
|Author||David Hugh-Jones <firstname.lastname@example.org>|
|Maintainer||David Hugh-Jones <email@example.com>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
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