Package: PP 0.6.3-11

PP: Person Parameter Estimation

The PP package includes estimation of (MLE, WLE, MAP, EAP, ROBUST) person parameters for the 1,2,3,4-PL model and the GPCM (generalized partial credit model). The parameters are estimated under the assumption that the item parameters are known and fixed. The package is useful e.g. in the case that items from an item pool / item bank with known item parameters are administered to a new population of test-takers and an ability estimation for every test-taker is needed.

Authors:Jan Steinfeld [cre, aut], Manuel Reif [aut]

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PP/json (API)

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

Bug tracker:https://github.com/jansteinfeld/pp/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

irtperson-parameterpersonfitcpp

6.76 score 1 stars 1 packages 43 scripts 281 downloads 26 mentions 10 exports 1 dependencies

Last updated 2 years agofrom:50124a3700. Checks:11 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 06 2025
R-4.5-win-x86_64OKFeb 06 2025
R-4.5-mac-x86_64OKFeb 06 2025
R-4.5-mac-aarch64OKFeb 06 2025
R-4.5-linux-x86_64OKFeb 06 2025
R-4.4-win-x86_64OKFeb 06 2025
R-4.4-mac-x86_64OKFeb 06 2025
R-4.4-mac-aarch64OKFeb 06 2025
R-4.3-win-x86_64OKFeb 06 2025
R-4.3-mac-x86_64OKFeb 06 2025
R-4.3-mac-aarch64OKFeb 06 2025

Exports:findmodelJKppPfitPP_4plPP_gpcmPPallPPassPVsim_4plsim_gpcm

Dependencies:Rcpp

Analyzing a dataset

Rendered fromppass_par_and_fit.Rmdusingknitr::rmarkdownon Feb 06 2025.

Last update: 2019-04-06
Started: 2017-05-09

Getting started with Person-Fit in PP

Rendered fromintro_pfit.Rmdusingknitr::rmarkdownon Feb 06 2025.

Last update: 2019-04-06
Started: 2017-05-09

Getting started with PP

Rendered fromintro_pp.Rmdusingknitr::rmarkdownon Feb 06 2025.

Last update: 2017-05-11
Started: 2014-08-28