Relative Importance Factor Analysis

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) .


Reference manual

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install.packages("RIFanalysis")

0.9.3 by Humberto J. Llinás M., a month ago


Browse source code at https://github.com/cran/RIFanalysis


Authors: 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]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports checkmate, dplyr, ggplot2, ggraph, cowplot, igraph, openxlsx, poweRlaw, rlang, ggrepel, stringr

Suggests knitr, rmarkdown, testthat


See at CRAN