Package: PCMRS 0.1-4

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

PCMRS_0.1-4.tar.gz
PCMRS_0.1-4.tar.gz(r-4.5-noble)PCMRS_0.1-4.tar.gz(r-4.4-noble)
PCMRS_0.1-4.tgz(r-4.4-emscripten)PCMRS_0.1-4.tgz(r-4.3-emscripten)
PCMRS.pdf |PCMRS.html✨
PCMRS/json (API)

# Install 'PCMRS' in R:
install.packages('PCMRS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

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

1.00 score 5 scripts 241 downloads 2 exports 26 dependencies

Last updated 3 years agofrom:0dd2de351f. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-linux-x86_64NOTENov 20 2024

Exports:PCMRSperson.posterior

Dependencies:admiscclicubatureexpmfansigenericsgluelatticelifecycleltmmagrittrMASSMatrixmsmmvtnormpillarpkgconfigpolycorRcppRcppArmadillorlangstatmodsurvivaltibbleutf8vctrs