CHAID: CHi-squared Automated Interaction Detection

This package offers 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 Automated 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.

Author
The FoRt Student Project Team 2009 and Torsten Hothorn
Date of publication
2015-08-03 19:21:40
Maintainer
Anjana K V <anjanakv10@gmail.com>
License
GPL-2
Version
0.1-2

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Man pages

chaid
CHi-squared Automated Interaction Detection
CHAID-package
CHi-squared Automatical Interaction Detection
USvote
U.S. 2000 Election Data

Files in this package

CHAID/DESCRIPTION
CHAID/NAMESPACE
CHAID/R
CHAID/R/chaid.R
CHAID/cleanup
CHAID/data
CHAID/data/USvote.rda
CHAID/inst
CHAID/inst/CITATION
CHAID/inst/ChangeLog
CHAID/inst/ToDo
CHAID/man
CHAID/man/CHAID-package.Rd
CHAID/man/USvote.Rd
CHAID/man/chaid.Rd
CHAID/tests
CHAID/tests/Examples
CHAID/tests/Examples/CHAID-Ex.Rout.save
CHAID/tests/auto.Rda
CHAID/tests/car.Rda
CHAID/tests/comptest.R
CHAID/tests/kaffee.Rda
CHAID/tests/kredit.Rda
CHAID/tests/orders.Rda
CHAID/tests/regtest_SPSS.R
CHAID/tests/regtest_SPSS.Rout.save
CHAID/tests/test_minbucket.R