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chaidr
View on CRAN: Click
here
Download and install chaidr package within the R console
Install from CRAN:
install.packages("chaidr")
Install from Github:
library("remotes")
install_github("cran/chaidr") Install by package version:
library("remotes")
install_version("chaidr", "0.1.0") Attach the package and use:
library("chaidr")
Maintained by
Osamu Morimoto
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[Scholar Profile | Author Map]
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First Published: 2026-08-08
Latest Update: 2026-08-08
Description:
An implementation in base 'R' of the CHAID (Chi-squared Automatic Interaction Detection) decision tree algorithm of Kass (1980) <doi:10.2307/2986296> and the Exhaustive CHAID variant of Biggs, de Ville, and Suen (1991) <doi:10.1080/02664769100000005>, 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.
How to cite:
Osamu Morimoto (2026). chaidr: CHAID and Exhaustive CHAID Decision Trees. R package version 0.1.0, https://cran.r-project.org/web/packages/chaidr. Accessed 13 Oct. 2026.
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