Package: quantileDA 1.2

quantileDA: Quantile Classifier

Code for centroid, median and quantile classifiers.

Authors:Marco Berrettini, Christian Hennig, Cinzia Viroli

# Install 'quantileDA' in R:

install.packages('quantileDA', repos = c('https://viroli.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated from:703f86867f. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	100
source / vignettes	OK	145
linux-release-x86_64	OK	101
macos-release-arm64	OK	184
macos-oldrel-arm64	OK	143
windows-devel	OK	67
windows-release	OK	67
windows-oldrel	OK	66
wasm-release	OK	71

Dependencies:

Help page	Topics
Australian Institute of Sport data	ais
Internal function used in the cross-validation of the quantile classifier	balanced.folds
A function that performs the centroid classifier	centroidcl
Internal function for the quantile classifier with variable-wise thetas	fn_vw
A function that compute the Galton's skewness	galtonskew
Internal function for the quantile classifier	init.theta
A function that compute the Kelley's skewness	kelleyskew
Internal function for the quantile classifier	mapClass
Misclassification error	misc
Internal function used by the quantile classifier	permute.rows
Internal function for plotting the results of the quantile classifier	plot.quantileDA
Internal function for printing the results of the quantile classifier	print.quantileDA
A function that applies the quantile classifier for a given set of quantile probabilities and selects the best quantile classifier in the training set.	quantilecl
A function to apply the quantile classifier that uses a different optimal quantile probability for each variable	quantilecl.vw
A function to cross-validate the quantile classifier	quantileCV
A function that compute the conventional skewness measure	skewness
A function to perform the quantile classifier for a given quantile probability	theta.cl