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

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

## Documentation for package ‘truelies’ version 0.2.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

compare_dists | Calculate probability that one posterior is larger than another
difference_dist | Find density of the difference of two distributions
dist_hdr | Compute highest density region for a density function
dist_mean | Find mean of a probability density function
dist_quantile | Find quantiles given a probability density function
empirical_bayes | Estimate proportions of liars in multiple samples using empirical Bayes
empirical_bayes.default | Estimate proportions of liars in multiple samples using empirical Bayes
empirical_bayes.formula | Estimate proportions of liars in multiple samples using empirical Bayes
plot.densityFunction | Print/plot an object of class 'densityFunction'.
power_calc | Calculate power to detect non-zero lying
power_calc_difference | Estimate power to detect differences in lying between two samples
print.densityFunction | Print/plot an object of class 'densityFunction'.
update_prior | Calculate posterior distribution of the proportion of liars