Package: PP 0.6.4-1
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_0.6.4-1.tar.gz
PP_0.6.4-1.zip(r-4.7)PP_0.6.4-1.zip(r-4.6)PP_0.6.4-1.zip(r-4.5)
PP_0.6.4-1.tgz(r-4.6-x86_64)PP_0.6.4-1.tgz(r-4.6-arm64)PP_0.6.4-1.tgz(r-4.5-x86_64)PP_0.6.4-1.tgz(r-4.5-arm64)
PP_0.6.4-1.tar.gz(r-4.7-arm64)PP_0.6.4-1.tar.gz(r-4.7-x86_64)PP_0.6.4-1.tar.gz(r-4.6-arm64)PP_0.6.4-1.tar.gz(r-4.6-x86_64)
PP_0.6.4-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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
irtperson-parameterpersonfitcpp
Last updated from:6bdbde5dac. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 151 | ||
| linux-devel-x86_64 | OK | 143 | ||
| source / vignettes | OK | 195 | ||
| linux-release-arm64 | OK | 147 | ||
| linux-release-x86_64 | OK | 141 | ||
| macos-release-arm64 | OK | 302 | ||
| macos-release-x86_64 | OK | 334 | ||
| macos-oldrel-arm64 | OK | 174 | ||
| macos-oldrel-x86_64 | OK | 374 | ||
| windows-devel | OK | 135 | ||
| windows-release | OK | 178 | ||
| windows-oldrel | OK | 153 | ||
| wasm-release | OK | 115 |
Exports:findmodelJKpplzstar_mixedPfitPfit_lzstarmixPP_4plPP_gpcmPPallPPassprint_personfit_summaryPVsim_4plsim_gpcm
Dependencies:Rcpp
Analyzing a dataset
Rendered fromppass_par_and_fit.Rmdusingknitr::rmarkdownon May 21 2026.Last update: 2019-04-06
Started: 2017-05-09
Getting started with Person-Fit in PP
Rendered fromintro_pfit.Rmdusingknitr::rmarkdownon May 21 2026.Last update: 2019-04-06
Started: 2017-05-09
Getting started with PP
Rendered fromintro_pp.Rmdusingknitr::rmarkdownon May 21 2026.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 |
| Compute lz and lzstar person-fit statistics for mixed-format tests | lzstar_mixed |
| Person-Fit statistics | Pfit Pfit.gpcm |
| Universal PPall person-fit wrapper with full diagnostics | Pfit_lzstarmix |
| 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 |
| Print summary of person-fit results | print_personfit_summary |
| 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 |
