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'))

Peer review:

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

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

On CRAN:

irtperson-parameterpersonfit

6.76 score 1 stars 1 packages 43 scripts 395 downloads 26 mentions 10 exports 1 dependencies

Last updated 2 years agofrom:50124a3700. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 09 2024
R-4.5-win-x86_64OKOct 09 2024
R-4.5-linux-x86_64OKOct 09 2024
R-4.4-win-x86_64OKOct 09 2024
R-4.4-mac-x86_64OKOct 09 2024
R-4.4-mac-aarch64OKOct 09 2024
R-4.3-win-x86_64OKOct 09 2024
R-4.3-mac-x86_64OKOct 09 2024
R-4.3-mac-aarch64OKOct 09 2024

Exports:findmodelJKppPfitPP_4plPP_gpcmPPallPPassPVsim_4plsim_gpcm

Dependencies:Rcpp

Analyzing a dataset

Rendered fromppass_par_and_fit.Rmdusingknitr::rmarkdownon Oct 09 2024.

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

Getting started with Person-Fit in PP

Rendered fromintro_pfit.Rmdusingknitr::rmarkdownon Oct 09 2024.

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

Getting started with PP

Rendered fromintro_pp.Rmdusingknitr::rmarkdownon Oct 09 2024.

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