Package: PP 1.0.0
PP: Person Parameter Estimation
Estimation of person parameters (abilities) for the 1, 2, 3 and 4 parameter logistic model, the (generalized) partial credit model and tests that mix dichotomous and polytomous items, under the assumption that the item parameters are known and fixed: maximum likelihood, weighted likelihood (Warm, 1989 <doi:10.1007/BF02294627>), maximum and expected a posteriori and robust estimation (Schuster and Yuan, 2011 <doi:10.3102/1076998610396890>). Further features are jackknife estimates (Wainer and Wright, 1980 <doi:10.1007/BF02293910>), plausible values, the person fit statistics lz, lz* (Snijders, 2001 <doi:10.1007/BF02294437>), infit and outfit, and the simulation of response data. Models fitted with the 'eRm' package can be passed on directly. The package is useful, e.g., when items of an item bank are given to a new sample of persons.
Authors:
PP_1.0.0.tar.gz
PP_1.0.0.zip(r-4.7-x86_64)PP_1.0.0.zip(r-4.7-arm64)PP_1.0.0.zip(r-4.6-x86_64)PP_1.0.0.zip(r-4.6-arm64)PP_1.0.0.zip(r-4.5-x86_64)
PP_1.0.0.tgz(r-4.6-x86_64)PP_1.0.0.tgz(r-4.6-arm64)PP_1.0.0.tgz(r-4.5-x86_64)PP_1.0.0.tgz(r-4.5-arm64)
PP_1.0.0.tar.gz(r-4.7-arm64)PP_1.0.0.tar.gz(r-4.7-x86_64)PP_1.0.0.tar.gz(r-4.6-arm64)PP_1.0.0.tar.gz(r-4.6-x86_64)
PP_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
PP/json (API)
| # Install 'PP' in R: |
| install.packages('PP', repos = c('https://manuelreif.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/manuelreif/pp/issues
Pkgdown/docs site:https://manuelreif.github.io
irtperson-fitperson-parametercpp
Last updated from:4073f99911. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 216 | ||
| linux-devel-x86_64 | OK | 215 | ||
| source / vignettes | OK | 197 | ||
| linux-release-arm64 | OK | 199 | ||
| linux-release-x86_64 | OK | 191 | ||
| macos-release-arm64 | OK | 140 | ||
| macos-release-x86_64 | OK | 419 | ||
| macos-oldrel-arm64 | OK | 177 | ||
| macos-oldrel-x86_64 | OK | 442 | ||
| windows-devel-arm64 | OK | 309 | ||
| windows-devel-x86_64 | OK | 300 | ||
| windows-release-arm64 | OK | 288 | ||
| windows-release-x86_64 | OK | 254 | ||
| windows-oldrel-x86_64 | OK | 255 | ||
| wasm-release | OK | 97 |
Exports:findmodelJKppPfitPP_4plPP_gpcmPPallPPassPVsim_4plsim_gpcmsim_mixed
Last update: 2026-10-13
Started: 2014-08-28
Last update: 2026-10-13
Started: 2026-10-11
Last update: 2026-10-13
Started: 2017-05-09
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| PP: Person Parameter Estimation | PP-package PP |
| The model of each item in a mixed test | findmodel |
| Simulated data set | fourpl_df |
| Run a jackknife | JKpp JKpp.ppass JKpp.ppeo print.jk summary.jk |
| Person-Fit statistics | Pfit Pfit.default Pfit.ppeo print.PPfit summary.PPfit |
| Estimate Person Parameters for the 4-PL model | PP_4pl |
| Adaptive Matrices Test data | pp_amt |
| Estimate Person Parameters for the GPCM | PP_gpcm |
| Plots of person estimates and person fit | plot.ppass plot.ppeo pp-plots |
| Estimate Person Parameters | PPall |
| Person assessment: estimates and person fit in one step | as.data.frame.ppass PPass PPass.default PPass.eRm print.ppass summary.ppass |
| Methods for estimation results | as.data.frame.ppeo coef.ppeo ppeo-methods print.ppeo summary.ppeo |
| Draw Plausible values | print.pv PV PV.ppass PV.ppeo summary.pv |
| Simulate data for 1/2/3/4-pl model | sim_4pl |
| Simulate data for the gpcm model | sim_gpcm |
| Simulate data for mixed tests (4PL and GPCM items) | sim_mixed |
