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Traditional central tendency and dispersion measures such as the mean and standard deviation can be misleading for multimodal or outlier-contaminated data. This package implements information-theoretic alternatives that weight observations by their local probability density, focusing on the region containing the bulk of the data. The core functions include ic_weights() for kernel density or histogram based entropy weighting, ic_center() and ic_dispersion() for weighted location and spread, ic_combined() for a single information density score between zero and one, and ic_plot() for visualization.
| Version: | 0.1.0 |
| Imports: | ggplot2, ggfx |
| Published: | 2026-11-08 |
| DOI: | 10.32614/CRAN.package.infocentroid (may not be active yet) |
| Author: | Ahmet Kutuk [aut, cre] |
| Maintainer: | Ahmet Kutuk <ahmetkutuk at gmail.com> |
| BugReports: | https://github.com/ahmetkutuk1/infocentroid/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/ahmetkutuk1/infocentroid |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | infocentroid results |
| Reference manual: | infocentroid.html , infocentroid.pdf |
| Package source: | infocentroid_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): infocentroid_0.1.0.tgz, r-oldrel (arm64): infocentroid_0.1.0.tgz, r-release (x86_64): infocentroid_0.1.0.tgz, r-oldrel (x86_64): not available |
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