Shadow | R Documentation |
Shadow
is a test assembly function to perform adaptive test assembly based on the generalized shadow-test framework.
Shadow( config, constraints = NULL, true_theta = NULL, data = NULL, prior = NULL, prior_par = NULL, exclude = NULL, include_items_for_estimation = NULL, force_solver = FALSE, session = NULL, seed = NULL ) ## S4 method for signature 'config_Shadow' Shadow( config, constraints = NULL, true_theta = NULL, data = NULL, prior = NULL, prior_par = NULL, exclude = NULL, include_items_for_estimation = NULL, force_solver = FALSE, session = NULL, seed = NULL )
config |
a |
constraints |
a |
true_theta |
(optional) true theta values to use in simulation. Either |
data |
(optional) a matrix containing item response data to use in simulation. Either |
prior |
(optional) density at each |
prior_par |
(optional) normal distribution parameters |
exclude |
(optional) a list containing item names in |
include_items_for_estimation |
(optional) an examinee-wise list containing:
|
force_solver |
if |
session |
(optional) used to communicate with Shiny app |
seed |
(optional) used to perform data generation internally. |
Shadow
returns an output_Shadow_all
object containing assembly results.
van der Linden, W. J., Reese, L. M. (1998). A model for optimal constrained adaptive testing. Applied Psychological Measurement, 22, 259-270.
van der Linden, W. J. (1998). Optimal assembly of psychological and educational tests. Applied Psychological Measurement, 22, 195-211.
van der Linden, W. J. (2000). Optimal assembly of tests with item sets. Applied Psychological Measurement, 24, 225-240.
van der Linden, W. J. (2005). Linear models for optimal test design. Springer Science & Business Media.
config <- createShadowTestConfig() true_theta <- rnorm(1) solution <- Shadow(config, constraints_science, true_theta) solution@output
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