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cppcor (version 1.1)

Probabilistic Composition of Correlated Preference

Description

Individual classification method based on multivariate normal distribution, taking into account the correlation between the characteristics observed in the individuals. Entering a data set whose individuals are previously classified, this method will seek to understand how these individuals were grouped into their classes. This package will help you identify the class of new individuals without prior knowledge of your class. The way out is a set of measures that identify these new individuals. An interesting measure is accuracy, which measures how well the method correctly identified an individual for his or her class. The reference of this method was the result of the thesis of Marcelo Carlos Ribeiro, also author of the 'cppcor' package, and is still in the phase of corrections for publication. In the next updates of the package, we will add the reference of this method.

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Version

Install

install.packages('cppcor')

Monthly Downloads

13

Version

1.1

License

GPL (>= 2)

Maintainer

Ben Deivide

Last Published

March 28th, 2020

Functions in cppcor (1.1)

GUI_cppcor

Graphical User Interface for PCCor function
cppcor

Probabilistic Composition of Correlated Preference