R: Conjugate Power Priors for Bayesian Analysis of Normal Data

# Conjugate Power Priors for Bayesian Analysis of Normal Data

## Documentation for package ‘powerprior’ version 1.0.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

bayes_factor | Calculate Bayes Factor
check_compatibility | Check Data Compatibility
compare_discounting | Compare Multiple Discounting Parameters
effective_sample_size | Calculate Effective Sample Size
plot_sensitivity | Plot Sensitivity Analysis
posterior_multivariate | Posterior Obtained by Updating Power Prior with Current Data (Multivariate)
posterior_summary | Compute Posterior Summaries
posterior_univariate | Posterior Obtained by Updating Power Prior with Current Data (Univariate)
powerprior_launch_shinyapp | Launch the Shiny App
powerprior_multivariate | Compute Power Prior for Multivariate Normal Data
powerprior_univariate | Compute Power Prior for Univariate Normal Data
print.compatibility_check | Print method for compatibility_check
print.posterior_multivariate | Print method for posterior_multivariate
print.posterior_univariate | Print method for posterior_univariate
print.powerprior_comparison | Print method for powerprior_comparison
print.powerprior_multivariate | Print method for powerprior_multivariate
print.powerprior_summary | Print method for powerprior_summary
print.powerprior_univariate | Print method for powerprior_univariate
sample_posterior_multivariate | Sample from Posterior Distribution (Multivariate)
sample_posterior_univariate | Sample from Posterior Distribution (Univariate)