Visualize the implied prior distribution for the partial correlations. This is particularly useful for the Bayesian hypothesis testing methods.

plot_prior(prior_sd = 0.2, iter = 5000)

Arguments

prior_sd

Scale of the prior distribution, approximately the standard deviation of a beta distribution (defaults to 0.25).

iter

Number of iterations (prior samples; defaults to 5000).

Value

A ggplot object.

Examples

# \donttest{ # note: iter = 250 for demonstrative purposes plot_prior(prior_sd = 0.25, iter = 250)
# }