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 Chisquared 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 chisquared statistic for crosstabulations 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  20150803 19:21:40 
Maintainer  Anjana K V <anjanakv10@gmail.com> 
License  GPL2 
Version  0.12 
Package repository  View on RForge 
Installation  Install the latest version of this package by entering the following in R:





All man pages Function index File listing
Man pages  

chaid: CHisquared Automated Interaction Detection  
CHAIDpackage: CHisquared Automatical Interaction Detection  
USvote: U.S. 2000 Election Data 
Functions  

CHAID  Man page 
CHAIDpackage  Man page 
USvote  Man page 
chaid  Man page Source code 
chaid_control  Man page Source code 
isequal  Source code 
logchisq.test  Source code 
mergelevels  Source code 
mergex  Source code 
splitlevels  Source code 
step1  Source code 
step1internal  Source code 
step2  Source code 
step3  Source code 
step3intern  Source code 
step4  Source code 
step4internal  Source code 
step5  Source code 
Files  

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