Conjugate Power Priors for Bayesian Analysis of Normal Data
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Documentation for package ‘powerprior’ version 1.0.0
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) |