Relative Importance Factor Analysis R package RIFanalysis version 0.9.3 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>. Software 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) Humberto J. Llinás M. <lhumberto@uninorte.edu.co> Comprehensive R Archive Network (CRAN) 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] MIT + file LICENSE (https://CRAN.R-project.org/package=RIFanalysis/LICENSE) 2026-09-12 application/tgz https://CRAN.R-project.org/package=RIFanalysis doi:10.32614/CRAN.package.RIFanalysis