sim: Simulate the Administration of Multistage Tests

In Rmst: Computerized Adaptive Multistage Testing

Description

mst_sim simulates the administration of the assembled MST panel(s)

Usage

## S3 method for class 'mst_sim'
print(x, ...)

## S3 method for class 'mst_sim'
plot(x, ...)

mst_sim(x, true, rdp = NULL, estimator = model_mixed_eap, ...)

Arguments

x	the assembled MST object
...	additional option/control parameters
true	the true theta parameter (numeric)
rdp	routing decision points (list)
estimator	the estimator of the ability parameter (function)

Details

Use theta to set the initial theta, panel to select the MST panel, prior to set the prior for theta estimation, bounds to set the bounds of theta estimation, and D to set the scaling constant.

Value

a list of true and estimated ability theta, administered items, and end-of-stage statistics

Examples

set.seed(123456)
items <- Rirt::model_mixed_gendata(1, n_3pl=150)$items
x <- mst(items, "1-3", 2, 'topdown', len=20, max_use=1)
x <- mst_objective(x, -1, indices=1)
x <- mst_objective(x,  0, indices=2)
x <- mst_objective(x,  1, indices=3)
x <- mst_stage_length(x, 1:2, min=5)
x <- mst_assemble(x, 'lpsolve', time_limit=30)

sim1 <- mst_sim(x, true=.5)
print(sim1)
plot(sim1)

sim2 <- mst_sim(x, true=-.5, rdp=list('stage2'=c(-.44, .44)))
print(sim2)
plot(sim2)

Rmst documentation built on Nov. 13, 2019, 1:15 a.m.