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

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.2.0 by David Hugh-Jones, 10 months ago

Report a bug at

Browse source code at

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

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports hdrcde

Suggests dplyr, ggplot2, MASS, purrr, tidyr

See at CRAN