Differential item functioning in the Rasch model | Data preparation | Model fitting, plotting and extraction of parameter values | Interpretation | Stability assessment | Acknowledgments | References
Package: psychotree 0.16-3.99
psychotree: Recursive Partitioning Based on Psychometric Models
Recursive partitioning based on psychometric models, employing the general MOB algorithm (from package partykit) to obtain Bradley-Terry trees, Rasch trees, rating scale and partial credit trees, and MPT trees, trees for 1PL, 2PL, 3PL and 4PL models and generalized partial credit models.
Authors:
psychotree_0.16-3.99.tar.gz
psychotree_0.16-3.99.zip(r-4.7-any)psychotree_0.16-3.99.zip(r-4.6-any)psychotree_0.16-3.99.zip(r-4.5-any)
psychotree_0.16-3.99.tgz(r-4.6-any)psychotree_0.16-3.99.tgz(r-4.5-any)
psychotree_0.16-3.99.tar.gz(r-4.7-any)psychotree_0.16-3.99.tar.gz(r-4.6-any)
psychotree_0.16-3.99.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
psychotree/json (API)
| # Install 'psychotree' in R: |
| install.packages('psychotree', repos = c('https://zeileis.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://codeberg.org/zeileis/psychotree
Datasets:
- CEMSChoice - CEMS University Choice Data
- DIFSim - Artificial Data with Differential Item Functioning
- DIFSimPC - Artificial Data with Differential Item Functioning
- EuropeanValuesStudy - European Values Study
- SPISA - SPIEGEL Studentenpisa Data
- Topmodel2007 - Attractiveness of Germany's Next Topmodels 2007
Last updated from:28e69893f1. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 219 | ||
| source / vignettes | OK | 298 | ||
| linux-release | OK | 240 | ||
| macos-release | OK | 149 | ||
| macos-oldrel | OK | 152 | ||
| windows-devel | OK | 138 | ||
| windows-release | OK | 160 | ||
| windows-oldrel | OK | 166 | ||
| wasm-release | OK | 140 |
Exports:bttreegpcmtreempttreenode_btplotnode_mptplotnode_profileplotnode_regionplotnpltreepctreeraschtreerstree
Dependencies:FormulainumlatticelibcoinMatrixmvtnormpartykitpsychotoolsrpartsandwichstrucchangesurvivalzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bradley-Terry Trees | bttree itempar.bttree plot.bttree predict.bttree print.bttree |
| CEMS University Choice Data | CEMSChoice |
| Artificial Data with Differential Item Functioning | DIFSim DIFSimPC |
| European Values Study | EuropeanValuesStudy |
| Generalized Partial Credit Model Trees | gpcmtree guesspar.gpcmtree itempar.gpcmtree plot.gpcmtree print.gpcmtree threshpar.gpcmtree upperpar.gpcmtree |
| MPT Trees | coef.mpttree mpttree plot.mpttree predict.mpttree print.mpttree |
| Panel-Generating Function for Visualizing Bradley-Terry Tree Models | node_btplot |
| Panel-Generating Function for Visualizing MPT Tree Models | node_mptplot |
| Panel-Generating Function for Visualizing IRT Tree Models | node_profileplot |
| Panel-Generating Function for Visualizing IRT Tree Models | node_regionplot |
| Parametric Logisitic (n-PL) IRT Model Trees | guesspar.npltree itempar.npltree npltree plot.npltree print.npltree threshpar.npltree upperpar.npltree |
| Partial Credit Trees | itempar.pctree pctree plot.pctree predict.pctree print.pctree threshpar.pctree |
| Rasch Trees | itempar.raschtree plot.raschtree predict.raschtree print.raschtree raschtree |
| Rating Scale Trees | itempar.rstree plot.rstree predict.rstree print.rstree rstree threshpar.rstree |
| SPIEGEL Studentenpisa Data (Subsample) | SPISA |
| Attractiveness of Germany's Next Topmodels 2007 | Topmodel2007 |