Package: PCMRS 0.1-5

Gunther Schauberger

PCMRS: Model Response Styles in Partial Credit Models

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.

Authors:Gunther Schauberger [aut, cre]

PCMRS_0.1-5.tar.gz
PCMRS_0.1-5.tar.gz(r-4.7-arm64)PCMRS_0.1-5.tar.gz(r-4.7-x86_64)PCMRS_0.1-5.tar.gz(r-4.6-arm64)PCMRS_0.1-5.tar.gz(r-4.6-x86_64)
PCMRS_0.1-5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
PCMRS/json (API)

# Install 'PCMRS' in R:
install.packages('PCMRS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • emotion - Emotional reactivity data from the Freiburg Complaint Checklist
  • tenseness - Tenseness data from the Freiburg Complaint Checklist

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascppopenmp

1.00 score 5 scripts 386 downloads 2 exports 25 dependencies

Last updated from:b7dc4e69fa. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK139
linux-devel-x86_64OK106
source / vignettesOK162
linux-release-arm64OK146
linux-release-x86_64OK146
wasm-releaseOK111

Exports:PCMRSperson.posterior

Dependencies:admiscclicubatureexpmgenericsgluelatticelifecycleltmmagrittrMASSMatrixmsmmvtnormpillarpkgconfigpolycorRcppRcppArmadillorlangstatmodsurvivaltibbleutf8vctrs