Wide and long format | Eight new functions | Simple example: wide input, wide output, all items share the same tree | Variation: wide input, long output, all items share the same tree | Complication: wide input, items may have different trees | What if the input data is in long shape? | A complete example | Specifying mapping matrices in mermaid | References
Package: irtrees 1.0.0
irtrees: Estimation of Tree-Based Item Response Models
Helper functions and example data sets to facilitate the estimation of IRTree models from data with different shape and using different software.
Authors:
irtrees_1.0.0.tar.gz
irtrees_1.0.0.zip(r-4.7-any)irtrees_1.0.0.zip(r-4.6-any)irtrees_1.0.0.zip(r-4.5-any)
irtrees_1.0.0.tgz(r-4.6-any)irtrees_1.0.0.tgz(r-4.5-any)
irtrees_1.0.0.tar.gz(r-4.7-any)irtrees_1.0.0.tar.gz(r-4.6-any)
irtrees_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
irtrees/json (API)
| # Install 'irtrees' in R: |
| install.packages('irtrees', repos = c('https://irtools.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- linlat - Example Data: Sequential-Order Latent Variable Models
- linresp - Example Data: Linear Hierarchical Categories
- neslat - Example Data: Nested Hierarchical Categories
- nesresp - Example Data: Nested Hierarchical Latent Variables
- VerbAgg2 - Verbal Aggression Data, Dichotomized Items
- VerbAgg3 - Verbal Aggression Data, Three-Category Items
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:60a8667e99. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 129 | ||
| source / vignettes | OK | 306 | ||
| linux-release | OK | 150 | ||
| macos-release | OK | 120 | ||
| macos-oldrel | OK | 89 | ||
| windows-devel | OK | 84 | ||
| windows-release | OK | 98 | ||
| windows-oldrel | OK | 101 | ||
| wasm-release | OK | 137 |
Exports:dendrifyexogenizegraph2mxLtoL_multi.treeLtoL_single.treeLtoW_multi.treeLtoW_single.treeWtoL_multi.treeWtoL_single.treeWtoW_multi.treeWtoW_single.tree
Dependencies:base64encbitbit64bslibcachemclicliprcpp11crayonDiagrammeRdigestdplyrevaluatefarverfastmapfontawesomefsgenericsgluehighrhmshtmltoolshtmlwidgetsigraphjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMatrixmemoisemimepillarpkgconfigprettyunitsprogresspurrrR6rappdirsRColorBrewerreadrrlangrmarkdownrstudioapisassscalesstringistringrtibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevisNetworkvroomwithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Estimation of Tree-Based Item Response Models | irtrees-package irtrees |
| Measurement Mapping for an IRTree Model | dendrify |
| Structural Mapping for an IRTree Model | exogenize |
| Convert a tree to a mapping matrix | graph2mx |
| Example Data: Sequential-Order Latent Variable Models | linlat |
| Example Data: Linear Hierarchical Categories | linresp |
| Long-to-long, multiple trees | LtoL_multi.tree |
| Long-to-long, single tree | LtoL_single.tree |
| Long-to-wide, multiple trees | LtoW_multi.tree |
| Long-to-wide, single tree | LtoW_single.tree |
| Example Data: Nested Hierarchical Categories | neslat |
| Example Data: Nested Hierarchical Latent Variables | nesresp |
| Convert a wide-format matrix to long format | tolong |
| Verbal Aggression Data, Dichotomized Items | VerbAgg2 |
| Verbal Aggression Data, Three-Category Items | VerbAgg3 |
| Wide-to-long, multiple trees | WtoL_multi.tree |
| Wide-to-long, one tree | WtoL_single.tree |
| Wide-to-wide, multiple trees | WtoW_multi.tree |
| Wide-to-wide, one tree | WtoW_single.tree |