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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "IFTPredictor" in publications use:'
type: software
license: MIT
title: 'IFTPredictor: Predictions Using Item-Focused Tree Models'
version: 0.1.0
doi: 10.32614/CRAN.package.IFTPredictor
abstract: This function predicts item response probabilities and item responses using
  the item-focused tree (IFT) model. The IFT model combines logistic regression with
  recursive partitioning to detect Differential Item Functioning (DIF) 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.
  DIF detection is achieved by examining potential group differences in item response
  patterns. This method is useful for understanding how different covariates, such
  as demographic or psychological factors, influence item responses across subpopulations.
authors:
- family-names: Gedara
  given-names: Muditha Bodawatte
  email: muditha.lakmali.1993@gmail.com
- family-names: Gedara
  given-names: Muditha Bodawatte
- family-names: Mochka
  given-names: Barret
- family-names: Lix
  given-names: Lisa
repository: https://mudithabo.r-universe.dev
commit: 120bf7f233b915ab4c39739b218ac591c647cde2
date-released: '2025-01-21'
contact:
- family-names: Gedara
  given-names: Muditha Bodawatte
  email: muditha.lakmali.1993@gmail.com
- family-names: Gedara
  given-names: Muditha Bodawatte