Bayesian Methods to Estimate the Proportion of Liars in Coin Flip Experiments

Implements Bayesian methods, described in Hugh-Jones (2019) , 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.


Reference manual

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0.2.0 by David Hugh-Jones, 2 years ago

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Authors: David Hugh-Jones <[email protected]>

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports hdrcde

Suggests dplyr, ggplot2, MASS, purrr, tidyr

See at CRAN