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)
prior_sd | Scale of the prior distribution, approximately the standard deviation of a beta distribution (defaults to 0.25). |
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iter | Number of iterations (prior samples; defaults to 5000). |
A ggplot
object.
# \donttest{ # note: iter = 250 for demonstrative purposes plot_prior(prior_sd = 0.25, iter = 250)# }