pagerankr-package: pagerankr: A Modular Toolkit for Link-Graph Analysis and...

In pagerankr: Modular Toolkit for PageRank Calculation

pagerankr: A Modular Toolkit for Link-Graph Analysis and PageRank

Description

The pagerankr package provides pipeable functions for link-graph analysis in SEO contexts, covering PageRank, HITS, SALSA, TrustRank, Topic-Sensitive PageRank, and reverse-graph feeder PageRank. It includes Screaming Frog crawl import adapters, GA4 behavioral transition modeling, convergence controls, damping sensitivity sweeps, alpha-stability reporting, redirect and rel=canonical resolution, URL folding, domain/host filtering, model comparison, parameter grid search, and what-if simulation.

Author(s)

Maintainer: Bart Turczynski [e-mail] (ORCID)

Authors:

• Bart Turczynski [e-mail] (ORCID)

See Also

Useful links:

• https://bart-turczynski.gitlab.io/pagerankr/

• https://gitlab.com/bart-turczynski/pagerankr

• https://bart-turczynski.r-universe.dev/pagerankr

• Report bugs at https://gitlab.com/bart-turczynski/pagerankr/-/issues

Examples

# A quick tour: score a tiny link graph ...
edges <- data.frame(
  from = c("/", "/", "/a", "/b"),
  to = c("/a", "/b", "/b", "/")
)
result <- pagerank(edges)
result

# ... then inspect how that graph was built and how it was solved. Every
# run carries its own provenance and convergence records.
attr(result, "transition_audit")$counts
attr(result, "convergence")$algo

pagerankr documentation built on Oct. 1, 2026, 5:09 p.m.