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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 |
| Author: | David Hugh-Jones |
| Maintainer: | David Hugh-Jones <davidhughjones at gmail.com> |
| BugReports: | https://github.com/hughjonesd/truelies/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/hughjonesd/truelies |
| NeedsCompilation: | no |
| Citation: | truelies citation info |
| Materials: | README NEWS |
| CRAN checks: | truelies results |
| Reference manual: | truelies.pdf |
| 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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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