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Kira (version 1.0.7)

Machine Learning

Description

Machine learning, containing several algorithms for supervised and unsupervised classification, in addition to a function that plots the Receiver Operating Characteristic (ROC) and Precision-Recall (PRC) curve graphs, and also a function that returns several metrics used for model evaluation, the latter can be used in ranking results from other packs.

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Version

Install

install.packages('Kira')

Monthly Downloads

408

Version

1.0.7

License

GPL-3

Maintainer

Paulo Cesar Ossani

Last Published

April 18th, 2025

Functions in Kira (1.0.7)

silhouette

Silhouette method to determine the optimal number of clusters.
results

Results of the classification process
vote

Performs the supervised classification vote method.
Kira-package

Machine learning and data mining.
brute.force

Brute force method for variable selection.
kmeans

kmeans unsupervised classification.
qda

Quadratic discriminant analysis (QDA).
regression

Linear regression supervised classification method
lda

Linear discriminant analysis (LDA).
plot_curve

Graphics of the results of the classification process
elbow

Elbow method to determine the optimal number of clusters.
hierarchical

Hierarchical unsupervised classification.
knn

k-nearest neighbor (kNN) supervised classification method