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PCMRS  

Model Response Styles in Partial Credit Models
View on CRAN: Click here


Download and install PCMRS package within the R console
Install from CRAN:
install.packages("PCMRS")

Install from Github:
library("remotes")
install_github("cran/PCMRS")

Install by package version:
library("remotes")
install_version("PCMRS", "0.1-4")



Attach the package and use:
library("PCMRS")
Maintained by
Gunther Schauberger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-07
Latest Update: 2022-05-03
Description:
Implementation of PCMRS (Partial Credit Model with Response Styles) as proposed in by Tutz, Schauberger and Berger (2018) . PCMRS is an extension of the regular partial credit model. PCMRS allows for an additional person parameter that characterizes the response style of the person. By taking the response style into account, the estimates of the item parameters are less biased than in partial credit models.
How to cite:
Gunther Schauberger (2017). PCMRS: Model Response Styles in Partial Credit Models. R package version 0.1-4, https://cran.r-project.org/web/packages/PCMRS. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.0-1 (2017-11-07 12:18), 0.0-2 (2017-11-15 10:09), 0.1-1 (2018-01-04 11:06), 0.1-2 (2020-06-11 21:00), 0.1-3 (2021-11-25 10:10)
Other packages that cited PCMRS R package
View PCMRS citation profile
Other R packages that PCMRS depends, imports, suggests or enhances
Complete documentation for PCMRS
Functions, R codes and Examples using the PCMRS R package
Some associated functions: PCMRS-package . PCMRS . emotion . person.posterior . tenseness . 
Some associated R codes: PCMRS-package.R . PCMRS.R . RcppExports.R . functions.R . person.posterior.R . plot.PCMRS.R . print.PCMRS.R .  Full PCMRS package functions and examples
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