Package: chaid Title: Chi-Squared Automatic Interaction Detection Version: 0.1-3 Date: 2026-08-21 Authors@R: c(person(given = "The FoRt Student Project Team 2009", role = "aut"), person(given = "Torsten", family = "Hothorn", role = "aut", email = "Torsten.Hothorn@R-project.org", comment = c(ORCID = "0000-0001-8301-0471")), person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org", comment = c(ORCID = "0000-0003-0918-3766"))) Description: An implementation of CHAID, a type of decision tree technique for a nominal scaled dependent variable published in 1980 by Gordon V. Kass. CHAID stands for Chi-Squared Automatic Interaction Detection and detects interactions between categorized variables of a data set, one of which is the dependent variable. The remaining variables may or may not be ordered. An algorithm for recursive partitioning is implemented, based on maximizing the significance of a chi-squared statistic for cross-tabulations between the dependent variable and the predictors at each partition. The data are partitioned into mutually exclusive, exhaustive subsets that best describe the dependent variable. Multiway splits are used by default. Depends: R (>= 2.10.0), partykit License: GPL-2 LazyLoad: yes LazyData: yes URL: https://zeileis.codeberg.page/chaid/ BugReports: https://codeberg.org/zeileis/chaid/issues Repository: https://zeileis.r-universe.dev Date/Publication: 2026-08-21 22:24:04 UTC RemoteUrl: https://codeberg.org/zeileis/chaid RemoteRef: HEAD RemoteSha: 4ef45a6676dc2a6ebb782089acf03935d0ffaefb NeedsCompilation: no Packaged: 2026-10-26 11:47:44 UTC; root Author: The FoRt Student Project Team 2009 [aut], Torsten Hothorn [aut] (ORCID: ), Achim Zeileis [aut, cre] (ORCID: ) Maintainer: Achim Zeileis