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truelies

Bayesian Methods to Estimate the Proportion of Liars in Coin Flip Experiments

Installation

About

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.

Citation truelies citation info
github.com/hughjonesd/truelies
Bug report File report

Key Metrics

Version 0.2.0
Published 2019-08-26 1711 days ago
Needs compilation? no
License MIT
License File
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Maintainer

Maintainer

David Hugh-Jones

davidhughjones@gmail.com

Authors

David Hugh-Jones

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

truelies archive

Imports

hdrcde

Suggests

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