Generate item parameter samples for Bayesian purposes
iparPosteriorSample
is a function for generating item parameter samples. Used for the FB (full-Bayesian) estimation method.
iparPosteriorSample(pool, n_sample = 500)
pool
: an item_pool
object.n_sample
: the number of samples to draw.iparPosteriorSample
returns a length-ni list of item parameter matrices, with each matrix having n_sample
rows.
ipar <- iparPosteriorSample(itempool_bayes, 5) ipar <- iparPosteriorSample(itempool_science, 5) # no variation