psda (1.3.3)

Polygonal Symbolic Data Analysis.

A toolbox in symbolic data framework as a statistical learning and data mining solution for symbolic polygonal data analysis. This study is a new approach in data analysis and it was proposed by Silva et al. (2019) . The package presents the estimation of main descriptive statistical measures, e.g, mean, covariance, variance, correlation and coefficient of variation. In addition, a method to obtain polygonal data from classical data is presented. Empirical probability distribution function based on symbolic polygonal histogram and a regression model with its main measures are presented.

Maintainer: Wagner Silva
Author(s): Wagner Silva [aut, cre, ths], Renata Souza [aut], Francisco Cysneiros [aut]

License: GPL-2

Uses: ggplot2, plyr, raster, rgeos, sp, testthat, knitr, rmarkdown

Released 6 months ago.