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:Zhaojun Li, Ivailo Partchev and Paul De Boeck

irtrees_1.0.0.tar.gz
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irtrees.pdf |irtrees.html
irtrees/json (API)

# Install 'irtrees' in R:
install.packages('irtrees', repos = c('https://irtools.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • VerbAgg2 - Verbal Aggression Data, Dichotomized Items
  • VerbAgg3 - Verbal Aggression Data, Three-Category Items
  • 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

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.08 score 12 scripts 263 downloads 11 exports 66 dependencies

Last updated 3 years agofrom:60a8667e99. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-winOKNov 04 2024
R-4.5-linuxOKNov 04 2024
R-4.4-winOKNov 04 2024
R-4.4-macOKNov 04 2024
R-4.3-winOKNov 04 2024
R-4.3-macOKNov 04 2024

Exports:dendrifyexogenizegraph2mxLtoL_multi.treeLtoL_single.treeLtoW_multi.treeLtoW_single.treeWtoL_multi.treeWtoL_single.treeWtoW_multi.treeWtoW_single.tree

Dependencies:base64encbitbit64bslibcachemclicliprcolorspacecpp11crayonDiagrammeRdigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsgluehighrhmshtmltoolshtmlwidgetsigraphjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMatrixmemoisemimemunsellpillarpkgconfigprettyunitsprogresspurrrR6rappdirsRColorBrewerreadrrlangrmarkdownrstudioapisassscalesstringistringrtibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevisNetworkvroomwithrxfunyaml

irtrees 1.0.0

Rendered frompretree_vignette.Rmdusingknitr::rmarkdownon Nov 04 2024.

Last update: 2021-12-14
Started: 2021-12-14