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Prints information associated with the prior for certain 'type'

Usage

prior_help(type)

Arguments

type

A character string indicating which 'type' of model to run (e.g. 'standard' or 'single')

Value

Invisible return with a list of all the information that is also printed

Examples

prior_help('diagonal')
#> type: mu 
#> Group-level mean 
#> 
#>   Hyperparameters: 
#>   - theta_mu_mean : mean of the group-level mean prior 
#>   - theta_mu_var : variance of the group-level mean prior 
#> 
#> type: Sigma 
#> Group-level covariance matrix 
#> 
#>   Hyperparameters: 
#>   - v : degrees of freedom on the group-level variance prior 
#>   - A : scale on the group-level variance prior, larger values lead to larger variances 
#>