iparPosteriorSample: Generate item parameter samples for Bayesian purposes

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Generate item parameter samples for Bayesian purposes

Description

iparPosteriorSample is a function for generating item parameter samples. Used for the FB (full-Bayesian) estimation method.

Usage

iparPosteriorSample(pool, n_sample = 500)

Arguments

pool	an item_pool object.
n_sample	the number of samples to draw.

Value

iparPosteriorSample returns a length-ni list of item parameter matrices, with each matrix having n_sample rows.

Examples

ipar <- iparPosteriorSample(itempool_bayes, 5)
ipar <- iparPosteriorSample(itempool_science, 5) # no variation

TestDesign documentation built on Sept. 11, 2024, 7:12 p.m.