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Tools for estimating, comparing, and visualizing Relative Importance Factor (RIF) indices based on rank-frequency distributions and discrete power-law models. The package provides reproducible workflows for data preparation, model fitting, goodness-of-fit assessment, bootstrap inference, and publication-ready outputs. The implemented methodology is described in Llinas et al. (2026) <doi:10.3390/math14060966>.
| Version: | 0.9.1 |
| Depends: | R (≥ 4.1.0) |
| Imports: | checkmate, dplyr, ggplot2, ggraph, cowplot, igraph, openxlsx, poweRlaw (≥ 0.70.0), rlang, ggrepel, stringr |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-08-08 |
| DOI: | 10.32614/CRAN.package.RIFanalysis |
| Author: | Humberto J. Llinás M. [aut, cre], Humberto J. Llinás S. [aut], Javier A. De la Hoz M. [aut], Brian J. Llinás M. [aut], José J. Padilla [aut] |
| Maintainer: | Humberto J. Llinás M. <lhumberto at uninorte.edu.co> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | RIFanalysis results |
| Package source: | RIFanalysis_0.9.1.tar.gz |
| Windows binaries: | r-devel: RIFanalysis_0.9.1.zip, r-release: RIFanalysis_0.9.1.zip, r-oldrel: RIFanalysis_0.9.1.zip |
| macOS binaries: | r-release (arm64): RIFanalysis_0.9.1.tgz, r-oldrel (arm64): RIFanalysis_0.9.1.tgz, r-release (x86_64): RIFanalysis_0.9.1.tgz, r-oldrel (x86_64): RIFanalysis_0.9.1.tgz |
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These binaries (installable software) and packages are in development.
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