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iparPosteriorSample

Sample item parameter estimates from their posterior distributions


Description

Sample item parameter estimates from their posterior distributions.

Usage

iparPosteriorSample(pool, n_sample = 500)

Arguments

pool

An item_pool object.

n_sample

An integer as the number of sampled parameters.

Examples

ipar <- iparPosteriorSample(itempool_science, 5)

TestDesign

Optimal Test Design Approach to Fixed and Adaptive Test Construction

v1.2.2
GPL (>= 2)
Authors
Seung W. Choi [aut, cre] (<https://orcid.org/0000-0003-4777-5420>), Sangdon Lim [aut] (<https://orcid.org/0000-0002-2988-014X>)
Initial release
2021-01-26

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