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truelies: Bayesian Methods to Estimate the Proportion of Liars in CoinFlip Experiments

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.

Version:0.2.0
Imports:hdrcde
Suggests:dplyr,ggplot2,MASS,purrr,tidyr
Published:2019-08-26
DOI:10.32614/CRAN.package.truelies
Author:David Hugh-Jones
Maintainer:David Hugh-Jones <davidhughjones at gmail.com>
BugReports:https://github.com/hughjonesd/truelies/issues
License:MIT + fileLICENSE
URL:https://github.com/hughjonesd/truelies
NeedsCompilation:no
Citation:truelies citation info
Materials:README,NEWS
CRAN checks:truelies results

Documentation:

Reference manual:truelies.html ,truelies.pdf

Downloads:

Package source: truelies_0.2.0.tar.gz
Windows binaries: r-devel:truelies_0.2.0.zip, r-release:truelies_0.2.0.zip, r-oldrel:truelies_0.2.0.zip
macOS binaries: r-release (arm64):truelies_0.2.0.tgz, r-oldrel (arm64):truelies_0.2.0.tgz, r-release (x86_64):truelies_0.2.0.tgz, r-oldrel (x86_64):truelies_0.2.0.tgz
Old sources: truelies archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=trueliesto link to this page.


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