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truelies  

Bayesian Methods to Estimate the Proportion of Liars in Coin Flip Experiments
View on CRAN: Click here


Download and install truelies package within the R console
Install from CRAN:
install.packages("truelies")

Install from Github:
library("remotes")
install_github("cran/truelies")

Install by package version:
library("remotes")
install_version("truelies", "0.2.0")



Attach the package and use:
library("truelies")
Maintained by
David Hugh-Jones
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-28
Latest Update: 2019-08-26
Description:
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.
How to cite:
David Hugh-Jones (2019). truelies: Bayesian Methods to Estimate the Proportion of Liars in Coin Flip Experiments. R package version 0.2.0, https://cran.r-project.org/web/packages/truelies. Accessed 05 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:15), 0.1.0 (2019-06-28 09:51)
Other packages that cited truelies R package
View truelies citation profile
Other R packages that truelies depends, imports, suggests or enhances
Complete documentation for truelies
Functions, R codes and Examples using the truelies R package
Some associated functions: compare_dists . difference_dist . dist_hdr . dist_mean . dist_quantile . empirical_bayes . power_calc . power_calc_difference . print.densityFunction . truelies-package . update_prior . 
Some associated R codes: functions.R . truelies-package.R .  Full truelies package functions and examples
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