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RIFanalysis  

Relative Importance Factor Analysis
View on CRAN: Click here


Download and install RIFanalysis package within the R console
Install from CRAN:
install.packages("RIFanalysis")

Install from Github:
library("remotes")
install_github("cran/RIFanalysis")

Install by package version:
library("remotes")
install_version("RIFanalysis", "0.9.1")



Attach the package and use:
library("RIFanalysis")
Maintained by
Humberto J. Llinás M.
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-08
Latest Update: 2026-08-08
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>.
How to cite:
Humberto J. Llinás M. (2026). RIFanalysis: Relative Importance Factor Analysis. R package version 0.9.1, https://cran.r-project.org/web/packages/RIFanalysis. Accessed 22 Sep. 2026.
Previous versions and publish date:
(2026-09-12 02:10), 0.9.1 (2026-08-08 16:30), 0.9.2 (2026-08-20 10:12)
Other packages that cited RIFanalysis R package
View RIFanalysis citation profile
Other R packages that RIFanalysis depends, imports, suggests or enhances
Complete documentation for RIFanalysis
Functions, R codes and Examples using the RIFanalysis R package
Full RIFanalysis package functions and examples
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