binda: Multi-Class Discriminant Analysis using Binary Predictors

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

Author
Sebastian Gibb and Korbinian Strimmer.
Date of publication
2015-07-08 00:33:03
Maintainer
Korbinian Strimmer <strimmerlab@gmail.com>
License
GPL (>= 3)
Version
1.0.3
URLs

View on CRAN

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

Files in this package

binda
binda/NAMESPACE
binda/NEWS
binda/R
binda/R/getClassMeans.R
binda/R/is.binaryMatrix.R
binda/R/binda.ranking.R
binda/R/dichotomize.R
binda/R/chances.R
binda/R/binda.R
binda/MD5
binda/DESCRIPTION
binda/man
binda/man/binda.package.Rd
binda/man/binda-internal.Rd
binda/man/chances.Rd
binda/man/binda.Rd
binda/man/is.binaryMatrix.Rd
binda/man/dichotomize.Rd
binda/man/binda.ranking.Rd