# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "truelies" in publications use:' type: software license: MIT title: 'truelies: Bayesian Methods to Estimate the Proportion of Liars in Coin Flip Experiments' version: 0.2.0.9000 doi: 10.1007/s40881-019-00069-x identifiers: - type: doi value: 10.32614/CRAN.package.truelies abstract: 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. authors: - family-names: Hugh-Jones given-names: David email: davidhughjones@gmail.com preferred-citation: type: article title: 'True Lies: Comment on Garbarino, Slonim and Villeval (2018)' authors: - family-names: Hugh-Jones given-names: David email: davidhughjones@gmail.com journal: Journal of the Economic Science Association year: '2019' url: https://link.springer.com/article/10.1007/s40881-019-00069-x doi: 10.1007/s40881-019-00069-x repository: https://hughjonesd.r-universe.dev repository-code: https://github.com/hughjonesd/truelies commit: 050593a39bd90c3381509f3b28f90fac4ba183c7 url: https://github.com/hughjonesd/truelies contact: - family-names: Hugh-Jones given-names: David email: davidhughjones@gmail.com