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.


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Reference manual

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install.packages("truelies")

0.2.0 by David Hugh-Jones, 23 days ago


https://github.com/hughjonesd/truelies


Report a bug at https://github.com/hughjonesd/truelies/issues


Browse source code at https://github.com/cran/truelies


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


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports hdrcde

Suggests dplyr, ggplot2, MASS, purrr, tidyr


See at CRAN