Package: psda
Title: Polygonal Symbolic Data Analysis
Version: 1.4.0
Date: 2020-05-24
Authors@R: c(person("Wagner", "Silva", email = "wjfs@cin.ufpe.br", role = c("aut", "cre", "ths")),
           person("Renata", "Souza", email = "rmcrs@cin.ufpe.br", role = c("aut")),
           person("Francisco", "Cysneiros", email = "cysneiros@de.ufpe.br", role = c("aut")))
Description: 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) <doi:10.1016/j.knosys.2018.08.009>. 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.
Depends: R (>= 3.1)
License: GPL-2
URL: https://github.com/wagnerjorge/psda
BugReports: https://github.com/wagnerjorge/psda/issues
Imports: ggplot2, rgeos, plyr, sp, raster, stats
LazyData: true
RoxygenNote: 6.1.1
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-05-24 16:07:45 UTC; Wagner Jorge
Author: Wagner Silva [aut, cre, ths],
  Renata Souza [aut],
  Francisco Cysneiros [aut]
Maintainer: Wagner Silva <wjfs@cin.ufpe.br>
Repository: CRAN
Date/Publication: 2020-05-24 16:40:02 UTC
Built: R 4.0.2; ; 2020-07-17 03:24:26 UTC; unix
