Methods for data analysis from an entropic perspective. These methods are nonparametric and perform well on non-ordinal data. Currently includes 'HeatMap()' for visualizing distributional characteristics among multiple populations (groups).
| Version: | 0.1.3 |
| Depends: | R (≥ 4.1.0) |
| Imports: | ggplot2, dplyr, tidyr, tibble, rlang |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2025-09-29 |
| DOI: | 10.32614/CRAN.package.EntropicStatistics |
| Author: | Jialin Zhang [aut, cph, cre] |
| Maintainer: | Jialin Zhang <jzhang at math.msstate.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | EntropicStatistics results |
| Reference manual: | EntropicStatistics.html , EntropicStatistics.pdf |
| Package source: | EntropicStatistics_0.1.3.tar.gz |
| Windows binaries: | r-devel: EntropicStatistics_0.1.3.zip, r-release: EntropicStatistics_0.1.3.zip, r-oldrel: EntropicStatistics_0.1.3.zip |
| macOS binaries: | r-release (arm64): EntropicStatistics_0.1.3.tgz, r-oldrel (arm64): EntropicStatistics_0.1.3.tgz, r-release (x86_64): EntropicStatistics_0.1.3.tgz, r-oldrel (x86_64): EntropicStatistics_0.1.3.tgz |
| Old sources: | EntropicStatistics archive |
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