cat_sim_fast | R Documentation |
cat_sim_fast
function simulates computerized adaptive test (CAT) for
one or many simulees. This function uses parallel computing, so, for large
number of simulees, it might be significantly faster than
cat_sim
function.
cat_sim_fast(true_ability, cd, verbose = -1, n_cores = NULL)
true_ability |
True ability vector to generate item responses. |
cd |
A |
verbose |
This is an integer that will print the stage of the test.
For example, if the value verbose = 10, a message will be printed at
each tenth iteration of the cat_simulation. Default value is |
n_cores |
an integer specifying the number of cores to be used.
The value should be 1 or larger. The default is |
If the length of true_ability
vector is one a
"cat_output"
class output will be returned.
This is a list containing following elements:
True ability (theta) value to generate item responses.
A list where each element represent a step of the CAT test. It has following elements:
The estimated ability before the administration of the item.
The standard error of the estimated ability before the administration of the item.
TRUE
if the item belongs to a testlet.
Item-class
object that is administered at
this step.
The simulated response of the simulee for the item
administered at this step using simulee's true_ability
value.
The estimated ability after the administration of the item.
The standard error of the estimated ability after the administration of the item.
If the length of the true_ability
is more than 1, a list of
cat_output
objects will be returned for each value of
true_ability
.
Emre Gonulates
create_cat_design
cd <- create_cat_design(ip = generate_ip(n = 30),
termination_rule = c('max_item'),
termination_par = list(max_item = 7))
cat_sim_fast(true_ability = rnorm(1), cd = cd, n_cores = 1)
cat_sim_fast(true_ability = rnorm(2), cd = cd, n_cores = 1)
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