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Implementation of PCMRS (Partial Credit Model with Response Styles) as proposed in by Tutz, Schauberger and Berger (2018) <doi:10.1177/0146621617748322> . 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.
Version: | 0.1-4 |
Depends: | ltm, statmod, cubature, mvtnorm, parallel |
Imports: | Rcpp (≥ 0.12.4) |
LinkingTo: | Rcpp, RcppArmadillo |
Published: | 2022-05-03 |
DOI: | 10.32614/CRAN.package.PCMRS |
Author: | Gunther Schauberger |
Maintainer: | Gunther Schauberger <gunther.schauberger at tum.de> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
SystemRequirements: | C++11 |
In views: | Psychometrics |
CRAN checks: | PCMRS results |
Reference manual: | PCMRS.pdf |
Package source: | PCMRS_0.1-4.tar.gz |
Windows binaries: | r-devel: PCMRS_0.1-4.zip, r-release: PCMRS_0.1-4.zip, r-oldrel: PCMRS_0.1-4.zip |
macOS binaries: | r-release (arm64): PCMRS_0.1-4.tgz, r-oldrel (arm64): PCMRS_0.1-4.tgz, r-release (x86_64): PCMRS_0.1-4.tgz, r-oldrel (x86_64): PCMRS_0.1-4.tgz |
Old sources: | PCMRS archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.