# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "chaidr" in publications use:' type: software license: MIT title: 'chaidr: CHAID and Exhaustive CHAID Decision Trees' version: 0.1.0.9000 identifiers: - type: doi value: 10.32614/CRAN.package.chaidr abstract: An implementation of the CHAID (Chi-squared Automatic Interaction Detection) decision tree algorithm of Kass (1980) and the Exhaustive CHAID variant of Biggs, de Ville, and Suen (1991) , as specified in the 'IBM SPSS' Statistics Algorithms documentation. Supports nominal, ordinal (with floating missing category), and continuous predictors, and nominal, ordinal, and continuous response variables using Pearson chi-squared, Goodman row-effects, and one-way ANOVA F tests respectively. Includes prediction, rule extraction, gains and lift analysis, validation on holdout data, and visualization via base graphics, 'Graphviz' DOT, 'plotly', and conversion to 'partykit' objects. authors: - family-names: Morimoto given-names: Osamu email: galactic.supermarket@gmail.com preferred-citation: type: manual title: 'chaidr: CHAID and Exhaustive CHAID Decision Trees' authors: - family-names: Morimoto given-names: Osamu email: galactic.supermarket@gmail.com year: '2026' notes: R package version 0.1.0.9000 url: https://CRAN.R-project.org/package=chaidr repository: https://morimotoosamu.r-universe.dev repository-code: https://github.com/morimotoosamu/chaidr commit: ee3556c8ba42d8fcbd4c716a6d35b614d85bf96e url: https://morimotoosamu.github.io/chaidr/ date-released: '2026-08-09' contact: - family-names: Morimoto given-names: Osamu email: galactic.supermarket@gmail.com references: - type: article title: An Exploratory Technique for Investigating Large Quantities of Categorical Data authors: - family-names: Kass given-names: Gordon V. journal: Applied Statistics year: '1980' volume: '29' issue: '2' doi: 10.2307/2986296 start: '119' end: '127' - type: article title: A Method of Choosing Multiway Partitions for Classification and Decision Trees authors: - family-names: Biggs given-names: David - family-names: Ville given-names: Barry name-particle: de - family-names: Suen given-names: Ed journal: Journal of Applied Statistics year: '1991' volume: '18' issue: '1' doi: 10.1080/02664769100000005 start: '49' end: '62'