Package: RIFanalysis 0.9.3

Humberto J. Llinás M.

RIFanalysis: 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) <doi:10.3390/math14060966>.

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]

RIFanalysis_0.9.3.tar.gz
RIFanalysis_0.9.3.zip(r-4.7-any)RIFanalysis_0.9.3.zip(r-4.6-any)
RIFanalysis_0.9.3.tar.gz(r-4.7-any)RIFanalysis_0.9.3.tar.gz(r-4.6-any)
RIFanalysis_0.9.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
RIFanalysis/json (API)

# Install 'RIFanalysis' in R:
install.packages('RIFanalysis', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.95 score 296 downloads 34 exports 57 dependencies

Last updated from:1d5bea00f3. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK154
source / vignettesOK250
linux-releaseOK131
windows-develOK97
windows-releaseOK154
wasm-releaseOK129

Exports:export_rif_excelexport_rif_plotsexport_rif_visualsimport_rif_excelplot_matrixplot_networkplot_zipfrif_analysisrif_compare_resultsrif_computerif_compute_resultsrif_fit_bootstraprif_fit_mle_ksrif_fit_powerlawrif_labelsrif_layer_edge_labelsrif_layer_edgesrif_layer_matrixrif_layer_networkrif_layer_nodesrif_legendrif_matrix_labelsrif_matrix_layoutrif_network_labelsrif_network_layoutrif_panelrif_plotrif_preparerif_renderrif_themerif_workflow_z1rif_workflow_z2rif_workflow_z3rif_zipf

Dependencies:backportsbase64enccachemcheckmateclicowplotcpp11dplyrfarverfastmapgenericsggforceggplot2ggraphggrepelgluegraphlayoutsgridExtragtableigraphisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixmemoiseopenxlsxpillarpkgconfigpolyclippoweRlawpracmapurrrR6RColorBrewerRcppRcppArmadillorlangS7scalesstringistringrsystemfontstibbletidygraphtidyrtidyselecttweenrutf8vctrsviridisviridisLitewithrzip

RIFanalysis Workflow: Multi-Group Comparison
Introduction | Methodological foundation | Workflow overview | Load the package | Input datasets | User-defined objects | Descriptive Zipf analysis | Z2: Multi-Group Power-Law Estimation and RIF Comparison | Z3: RIF Visualization | Advanced usage
Rendered fromVignette2.Rmdusingknitr::rmarkdown

Last update: 2026-08-20
Started: 2026-08-08

RIFanalysis Workflow: Multi-Group Comparison by Type
Introduction | Methodological foundation | Workflow overview | Load the package | Input datasets | User-defined objects | Descriptive Zipf analysis | Z2: Group-by-Type Power-Law Estimation and RIF Comparison | Z3: RIF Visualization | Advanced usage
Rendered fromVignette3.Rmdusingknitr::rmarkdown

Last update: 2026-08-20
Started: 2026-08-08

RIFanalysis Workflow: Single-Group Analysis
Introduction | Methodological foundation | Workflow overview | Load the package | Input dataset | User-defined objects | Descriptive Zipf analysis | Z1: Power-law Estimation and RIF Computation | Z3: RIF Visualization | Advanced usage | plot_zipf | export_rif_plots (custom) | rif_zipf | rif_fit_powerlaw | rif_analysis | z1$zipf | z1$rif_results | rif_compute_results | Exporting and importing Excel files
Rendered fromVignette1.Rmdusingknitr::rmarkdown

Last update: 2026-08-20
Started: 2026-08-08

Readme and manuals

Help Manual

Help pageTopics
Example RIF datasets with a type variabledata_by_type
Example RIF datasets without a type variabledata_no_type
Export RIF results to Excelexport_rif_excel
Export RIF plotsexport_rif_plots
Export RIF matrix and network visualizationsexport_rif_visuals
Import RIF results from Excelimport_rif_excel
Plot a RIF matrixplot_matrix
Plot a RIF networkplot_network
Plot observed and theoretical Zipf distributionsplot_zipf
Print RIF analysisprint.rif_analysis
Print RIF power-law fitprint.rif_powerlaw_fit
Print RIF resultsprint.rif_results
Print RIF data objectprint.rif_tbl
Print RIF Zipf tableprint.rif_zipf_tbl
Run basic RIF analysisrif_analysis
Create comparative RIF resultsrif_compare_results
Compute RIF valuesrif_compute
Compute RIF results for all methodsrif_compute_results
Bootstrap estimates for discrete power-law modelrif_fit_bootstrap
Fit discrete power-law model using MLE-KSrif_fit_mle_ks
Fit power-law model for RIF datarif_fit_powerlaw
Add labels to a RIF plot objectrif_labels
Configure network edge labelsrif_layer_edge_labels
Configure network edgesrif_layer_edges
Add a matrix layer to a RIF plotrif_layer_matrix
Add a network layer to a RIF plotrif_layer_network
Configure network nodesrif_layer_nodes
Configure legends for a RIF plot objectrif_legend
Configure matrix labelsrif_matrix_labels
Configure matrix layoutrif_matrix_layout
Configure network labelsrif_network_labels
Configure network layoutrif_network_layout
Create a RIF panel objectrif_panel
Create a RIF plot objectrif_plot
Prepare data for RIF analysisrif_prepare
Render a RIF plot objectrif_render
Configure shared RIF plot theme settingsrif_theme
Run complete Z1 RIF workflowrif_workflow_z1
Run complete Z2 comparative RIF workflowrif_workflow_z2
Run Z3 RIF visual workflowrif_workflow_z3
Build Zipf table for RIF datarif_zipf