knncat: Nearest-neighbor Classification with Categorical Variables

Scale categorical variables in such a way as to make NN classification as accurate as possible. The code also handles continuous variables and prior probabilities, and does intelligent variable selection and estimation of both error rates and the right number of NN's.

Install the latest version of this package by entering the following in R:
install.packages("knncat")
AuthorSam Buttrey
Date of publication2015-02-06 06:22:24
MaintainerSam Buttrey <buttrey@nps.edu>
LicenseGPL-2
Version1.2.2

View on CRAN

Files

src
src/matrix.c
src/Makevars
src/donn.h
src/ranlib.c
src/com.c
src/ords.c
src/dodisc.c
src/dodisc.h
src/utilsR.c
src/ordfuncs.h
src/utils.h
src/f2c.h
src/ord.h
src/donn.c
src/ranlib.h
src/linpack.c
src/dsort.c
src/donnwrap.c
src/objective.c
src/matrix.h
NAMESPACE
R
R/knncat.R R/predict.knncat.R R/plot.knncat.R R/print.knncat.R
MD5
DESCRIPTION
man
man/predict.knncat.Rd man/print.knncat.Rd man/plot.knncat.Rd man/knncat.Rd
INDEX

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.