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:
PP_0.6.3-11.tar.gz
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PP_0.6.3-11.tgz(r-4.4-x86_64)PP_0.6.3-11.tgz(r-4.4-arm64)PP_0.6.3-11.tgz(r-4.3-x86_64)PP_0.6.3-11.tgz(r-4.3-arm64)
PP_0.6.3-11.tar.gz(r-4.5-noble)PP_0.6.3-11.tar.gz(r-4.4-noble)
PP_0.6.3-11.tgz(r-4.4-emscripten)PP_0.6.3-11.tgz(r-4.3-emscripten)
PP.pdf |PP.html✨
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
Last updated 2 years agofrom:50124a3700. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 09 2024 |
R-4.5-win-x86_64 | OK | Oct 09 2024 |
R-4.5-linux-x86_64 | OK | Oct 09 2024 |
R-4.4-win-x86_64 | OK | Oct 09 2024 |
R-4.4-mac-x86_64 | OK | Oct 09 2024 |
R-4.4-mac-aarch64 | OK | Oct 09 2024 |
R-4.3-win-x86_64 | OK | Oct 09 2024 |
R-4.3-mac-x86_64 | OK | Oct 09 2024 |
R-4.3-mac-aarch64 | OK | Oct 09 2024 |
Exports:findmodelJKppPfitPP_4plPP_gpcmPPallPPassPVsim_4plsim_gpcm
Dependencies:Rcpp
Analyzing a dataset
Rendered fromppass_par_and_fit.Rmd
usingknitr::rmarkdown
on Oct 09 2024.Last update: 2019-04-06
Started: 2017-05-09
Getting started with Person-Fit in PP
Rendered fromintro_pfit.Rmd
usingknitr::rmarkdown
on Oct 09 2024.Last update: 2019-04-06
Started: 2017-05-09
Getting started with PP
Rendered fromintro_pp.Rmd
usingknitr::rmarkdown
on Oct 09 2024.Last update: 2017-05-11
Started: 2014-08-28
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Create a model-type vector template | findmodel |
Simulated data set | fourpl_df |
Run a jackknife | JKpp JKpp.fourpl JKpp.gpcm JKpp.gpcm4pl print.jk summary.jk |
Person-Fit statistics | Pfit Pfit.gpcm |
Estimation of Person Parameters and calculation of Person Fit for the 1,2,3,4-PL model and the GPCM. | PP |
Estimate Person Parameters for the 4-PL model | PP_4pl |
Adaptive Matrices Test data | pp_amt |
Estimate Person Parameters for the GPCM | PP_gpcm |
Estimate Person Parameters | PPall print.ppeo summary.ppeo |
Person Assessment function | PPass PPass.default PPass.Rm |
Draw Plausible values | print.pv PV PV.fourpl PV.gpcm PV.gpcm4pl summary.pv |
Simulate data for 1/2/3/4-pl model | sim_4pl |
Simulate data for the gpcm model | sim_gpcm |