A matrix of posterior samples for the partial correlation. Note that if controlling for variables (e.g., formula ~ age), the matrix also includes the coefficients from each multivariate regression.
Examples
# note: iter = 250 for demonstrative purposes########################################### example 1: control with formula ############################################ (the following works with all data types)# controlling for genderY <- bfi
# to control for only gender# (remove education)Y <- subset(Y, select =- education)# fit modelfit <- estimate(Y, formula =~ gender, iter =250)# note regression coefficientssamps <- posterior_samples(fit)hist(samps[,1])