PCMRS-package {PCMRS} | R Documentation |
Model Response Styles in Partial Credit Models
Description
Performs PCMRS, a method to model response styles in Partial Credit Models
Author(s)
Gunther Schauberger
gunther.schauberger@tum.de
https://www.sg.tum.de/epidemiologie/team/schauberger/
References
Tutz, Gerhard, Schauberger, Gunther and Berger, Moritz (2018): Response Styles in the Partial Credit Model, Applied Psychological Measurement, https://journals.sagepub.com/doi/10.1177/0146621617748322
See Also
PCMRS
, person.posterior
, tenseness
, emotion
Examples
## Not run:
################################################
## Small example to illustrate model and person estimation
################################################
data(tenseness)
set.seed(5)
samples <- sample(1:nrow(tenseness), 100)
tense_small <- tenseness[samples,1:4]
m_small <- PCMRS(tense_small, cores = 2)
m_small
plot(m_small)
persons <- person.posterior(m_small, cores = 2)
plot(jitter(persons, 100))
################################################
## Example from Tutz et al. 2017:
################################################
data(emotion)
m.emotion <- PCMRS(emotion)
m.emotion
plot(m.emotion)
## End(Not run)
[Package PCMRS version 0.1-4 Index]