Package: chaid 0.1-3

chaid: Chi-Squared Automatic Interaction Detection

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.

Authors:The FoRt Student Project Team 2009 [aut], Torsten Hothorn [aut], Achim Zeileis [aut, cre]

chaid_0.1-3.tar.gz
chaid_0.1-3.zip(r-4.7-any)chaid_0.1-3.zip(r-4.6-any)chaid_0.1-3.zip(r-4.5-any)
chaid_0.1-3.tgz(r-4.6-any)chaid_0.1-3.tgz(r-4.5-any)
chaid_0.1-3.tar.gz(r-4.7-any)chaid_0.1-3.tar.gz(r-4.6-any)
chaid_0.1-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
chaid/json (API)

# Install 'chaid' in R:
install.packages('chaid', repos = c('https://zeileis.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://codeberg.org/zeileis/chaid

Datasets:
  • USvote - U.S. 2000 Election Data

On CRAN:

Conda:

2.74 score 110 scripts 2 exports 12 dependencies

Last updated from:4ef45a6676. Checks:4 OK, 5 NOTE. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK115
source / vignettesOK419
linux-releaseOK118
macos-releaseNOTE137
macos-oldrelNOTE132
windows-develNOTE88
windows-releaseNOTE98
windows-oldrelNOTE113
wasm-releaseOK79

Exports:chaidchaid_control

Dependencies:FormulainumlatticelibcoinMatrixmvtnormpartykitrpartsandwichstrucchangesurvivalzoo