binda: Multi-Class Discriminant Analysis using Binary Predictors
Version 1.0.3

The "binda" package implements functions for multi-class discriminant analysis using binary predictors, for corresponding variable selection, and for dichotomizing continuous data.

Browse man pages Browse package API and functions Browse package files

AuthorSebastian Gibb and Korbinian Strimmer.
Date of publication2015-07-08 00:33:03
MaintainerKorbinian Strimmer <strimmerlab@gmail.com>
LicenseGPL (>= 3)
Version1.0.3
URL http://strimmerlab.org/software/binda/
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("binda")

Man pages

binda: Binary Discriminant Analysis: Model Fit and Class Prediction
binda-internal: Internal binda Functions
binda.package: The binda Package
binda.ranking: Binary Discriminant Analysis: Variable Ranking
chances: Estimate Bernoulli Parameters from Binary Matrix with Class...
dichotomize: Dichotomize Continuous Data Set With Labels
is.binaryMatrix: Check For Binary Matrix

Functions

avoidBoundaries Source code
binda Man page Source code
binda-internal Man page
binda-package Man page
binda.ranking Man page Source code
chances Man page Source code
dichotomize Man page Source code
getClassFreqs Source code
getClassMeans Source code
getClassSamples Source code
is.binaryMatrix Man page Source code
max.col.value Source code
optimizeThreshold Man page Source code
plot.binda.ranking Man page Source code
predict.binda Man page Source code
rankingScore Source code
reportDetails Source code

Files

NAMESPACE
NEWS
R
R/getClassMeans.R
R/is.binaryMatrix.R
R/binda.ranking.R
R/dichotomize.R
R/chances.R
R/binda.R
MD5
DESCRIPTION
man
man/binda.package.Rd
man/binda-internal.Rd
man/chances.Rd
man/binda.Rd
man/is.binaryMatrix.Rd
man/dichotomize.Rd
man/binda.ranking.Rd
binda documentation built on May 19, 2017, 7:28 a.m.