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IFTPredictor

0.1.0

Predictions Using Item-Focused Tree Models

0packages depend
6Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Muditha L. Bodawatte GedaraFirst published 2025-02-131 releasesCRAN page ↗

This function predicts item response probabilities and item responses using the item-focused tree model. The item-focused tree model combines logistic regression with recursive partitioning to detect Differential Item Functioning in dichotomous items. The model applies partitioning rules to the data, splitting it into homogeneous subgroups, and uses logistic regression within each subgroup to explain the data. Differential Item Functioning detection is achieved by examining potential group differences in item response patterns. This method is useful for understanding how different predictors, such as demographic or psychological factors, influence item responses across subgroups.

Install

Health

CRAN checks
13OK
Slowest check: 1.8 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
1
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
50%

Downloads

6K
CRAN downloads in the past year
Rank #8,881 · ~16/day · ~501/mo
Daily download trend is not available in this view yet.
Also on96 r2u10 autocran

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (1)
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Listed in earlier versions (3)
no longer listed · 0.1.0
no longer listed · 0.1.0
no longer listed · 0.1.0
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-02-13
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Bundled data
12 KB / 1 file
Download size
18 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("IFTPredictor")
Bodawatte Gedara, M. L., Lix, L. M., & Monchka, B. A. (2025). IFTPredictor: Predictions Using Item-Focused Tree Models (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.IFTPredictor

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for IFTPredictor version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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