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rpcm

Simulate Data under a Partial Credit Model


Description

rpcm simulates IRT data under a partial credit model.

Usage

rpcm(theta, delta, nullcats = FALSE, return_setting = TRUE)

Arguments

theta

numeric vector of person parameters. Can also be a list, then a list of length length(theta) is returned, containing multiple simulated data sets.

delta

list of numeric vectors of item threshold parameters.

nullcats

logical. Should null categories be allowed?

return_setting

logical. Should a list containing slots of "delta", and "theta", as well as the simulated data matrix "data" be returned (default) or only the simulated data matrix?

Value

rpcm returns either a list of the following components:

delta

list of numeric vectors of item threshold parameters used,

theta

numeric vector of person parameters used,

data

numeric matrix containing the simulated data,

or (if return_setting = FALSE) only the numeric matrix containing the simulated data.

See Also

Examples

set.seed(1)
## item responses under a partial credit model (PCM) with
## 6 persons with three different person parameters
## 8 items with different combinations of two or three threshold parameters
ppar <- rep(-1:1, each = 2)
tpar <- rep(list(-2:0, -1:1, 0:1, 0:2), each = 2)
sim <- rpcm(theta = ppar, delta = tpar)

## simulated item response data along with setting parameters
sim

## print and plot corresponding item response object
iresp <- itemresp(sim$data)
iresp
plot(iresp)

psychotools

Psychometric Modeling Infrastructure

v0.6-0
GPL-2 | GPL-3
Authors
Achim Zeileis [aut, cre] (<https://orcid.org/0000-0003-0918-3766>), Carolin Strobl [aut], Florian Wickelmaier [aut], Basil Komboz [aut], Julia Kopf [aut], Lennart Schneider [aut] (<https://orcid.org/0000-0003-4152-5308>), Rudolf Debelak [aut]
Initial release
2020-11-16

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