Package: RIFanalysis
Title: Relative Importance Factor Analysis
Version: 0.9.3
Authors@R: c(
    person("Humberto J.", "Llinás M.", email = "lhumberto@uninorte.edu.co", role = c("aut", "cre")),
    person("Humberto J.", "Llinás S.", email = "hllinas@uninorte.edu.co", role = "aut"),
    person("Javier A.", "De la Hoz M.", email = "jdelahoz@unimagdalena.edu.co", role = "aut"),
    person("Brian J.", "Llinás M.", email = "bllin001@odu.edu", role = "aut"),
    person("José J.", "Padilla", email = "jpadilla@odu.edu", role = "aut")
    )
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 8.0.0
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)
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-12 10:11:22 UTC; root
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@uninorte.edu.co>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-09-12 00:10:02 UTC
RemoteUrl: https://github.com/cran/RIFanalysis
RemoteRef: HEAD
RemoteSha: 1d5bea00f36ebe257089b0846289cb6c1f2a2ea2