R: Sample Size and Power for Comparing Inequality Constrained Hypotheses

# Sample Size and Power for Comparing Inequality Constrained Hypotheses

## Documentation for package ‘BayesianPower’ version 0.2.3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

bayes_error | Determine the unconditional error probabilities for a set of simulated Bayes factors.
bayes_power | Determine the 'power' for a Bayesian hypothesis test
bayes_sampsize | Determine the required sample size for a Bayesian hypothesis test
calc_bf | Compute a Bayes factor
calc_fc | Compute the complexity or fit for two hypotheses.
eval_const | Evaluate a constraint matrix for a set of prior/posterior samples
samp_bf | Sample multiple datasets and compute the Bayes factor in each
samp_dist | Sample from prior or posterior distribution