labelrank: Predicting Rankings of Labels

An implementation of distance-based ranking algorithms to predict rankings of labels. Two common algorithms are included: the naive Bayes and the nearest neighbor algorithms.

Install the latest version of this package by entering the following in R:
install.packages("labelrank")
AuthorArtur Aiguzhinov [cre], Carlos Soares [aut]
Date of publication2015-11-22 11:48:10
MaintainerArtur Aiguzhinov <aiguzhinov@gmail.com>
LicenseGPL-3
Version0.1

View on CRAN

Files

inst
inst/doc
inst/doc/labelrank.R
inst/doc/labelrank.html
inst/doc/labelrank.Rmd
NAMESPACE
data
data/lr.num.rda
data/lr.nom.rda
data/y.rda
R
R/data.R R/model_nbr.R R/nb_rank.R R/nn.R
vignettes
vignettes/labelrank.Rmd
MD5
build
build/vignette.rds
DESCRIPTION
man
man/lr.num.Rd man/model_nbr.Rd man/kNN.Rd man/nb_rank.Rd man/y.Rd man/time_weights.Rd man/nn_rank.Rd man/lr.nom.Rd

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.