TestDesign: theta_FB – R documentation

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theta_FB

Calculate a fully Bayesian estimate of theta for an examinee

Calculate a fully Bayesian estimate of theta for an examinee.

theta_FB(
  nx,
  theta_init,
  theta_prop,
  items_list,
  item_init,
  resp,
  ncat,
  model,
  prior,
  prior_parm
)

`nx`	The number of MCMC draws.
`theta_init`	A value for initial estimate of theta.
`theta_prop`	SD of the proposal distribution.
`items_list`	A list of item_parm matrices.
`item_init`	A matrix of item parameter estimates (one row per item).
`resp`	a numeric vector containing item responses.
`ncat`	A numeric vector of the number of response categories by item.
`model`	A numeric vector indicating the IRT models of each item (1: 1PL, 2: 2PL, 3: 3PL, 4: PC, 5: GPC, 6: GR).
`prior`	The type of prior distribution (1: normal, 2: uniform).
`prior_parm`	A numeric vector of hyperparameters for the prior distribution, c(mu, sigma) or c(ll, ul).

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