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EntropicStatistics: Functions Based on Entropic Statistics

Contains methods for data analysis in entropic perspective. These entropic perspective methods are nonparametric, and perform better on non-ordinal data. Currently, the package has a function HeatMap() for visualizing distributional characteristics among multiple populations (groups).

Version: 0.1.0
Imports: ggplot2, ggrepel, hrbrthemes, tidyverse, dplyr, tidyr, tibble
Suggests: testthat (≥ 3.0.0)
Published: 2023-05-29
DOI: 10.32614/CRAN.package.EntropicStatistics
Author: Jialin Zhang (JZ) [aut, cph, cre]
Maintainer: Jialin Zhang (JZ) <jzhang at math.msstate.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: EntropicStatistics results

Documentation:

Reference manual: EntropicStatistics.pdf

Downloads:

Package source: EntropicStatistics_0.1.0.tar.gz
Windows binaries: r-devel: EntropicStatistics_0.1.0.zip, r-release: EntropicStatistics_0.1.0.zip, r-oldrel: EntropicStatistics_0.1.0.zip
macOS binaries: r-release (arm64): EntropicStatistics_0.1.0.tgz, r-oldrel (arm64): EntropicStatistics_0.1.0.tgz, r-release (x86_64): EntropicStatistics_0.1.0.tgz, r-oldrel (x86_64): EntropicStatistics_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.