get the highest posterior density (HPD) interval
# S3 method for bayesnmr
hpd(object, parm, level = 0.95, HPD = TRUE)
dataframe containing HPD intervals for the parameters
the output model from fitting a (network) meta analysis/regression model
a specification of which parameters are to be given confidence intervals, either a vector of numbers or a vector of names. If missing, all parameters are considered.
the probability which the HPD interval will cover
a logical value indicating whether HPD or equal-tailed credible interval should be computed; by default, TRUE