Package: grip Type: Package Title: Graph Drawing with Intelligent Placement (GRIP) Version: 0.2.0.9001 Authors@R: c(person("Pawel", "Gajer", , "pgajer@gmail.com", role = c("aut", "cre")), person("Jonathan", "Zheng", role = c("ctb", "cph"), comment = "Author and copyright holder of MIT-licensed s_gd2 code adapted for the metric-MDS SGD backend"), person("Daniel", "Hangan", role = "ctb", comment = "Author of the SGD-MDS implementation in his scikit-learn fork adapted for the metric-MDS SGD backend"), person("The scikit-learn developers", role = "cph", comment = "Copyright holders of BSD-3-Clause code adapted from Daniel Hangan's scikit-learn fork for the metric-MDS SGD backend")) Description: Implements GRIP multiscale graph layout with a unified choice between hop-count and geometry-aware edge-length graph metrics in 2D and 3D. Provides layout scoring, candidate comparison, multiscale trace diagnostics, synthetic graph families, and advanced experimental geodesic-KK utilities for weighted-layout evaluation and polish. Based on Gajer and Kobourov (2002) and Gajer, Goodrich and Kobourov (2004) . Includes derived graph datasets from the SuiteSparse Matrix Collection, with source attribution and transformation metadata. License: GPL (>= 3) Copyright: See inst/COPYRIGHTS for software and dataset attribution. Bundled SuiteSparse-derived graph data are distributed under CC BY 4.0; see inst/extdata/suitesparse/PROVENANCE.md. URL: https://pgajer.github.io/grip/, https://github.com/pgajer/grip BugReports: https://github.com/pgajer/grip/issues Encoding: UTF-8 Depends: R (>= 3.5.0) Imports: Rcpp Suggests: bslib, DT, FNN, geometry, igraph, htmltools, htmlwidgets, httpuv, knitr, later, rmarkdown, rgl, shiny, smacof (>= 2.1-7), testthat (>= 3.0.0), withr Enhances: ivue (>= 0.1.0) Config/Needs/website: pgajer/ivue@4bc38526c334441e29fa761382d06aad67a25dcb LinkingTo: Rcpp SystemRequirements: C++17 Config/testthat/edition: 3 VignetteBuilder: knitr Config/roxygen2/version: 8.0.0 Repository: https://pgajer.r-universe.dev Date/Publication: 2026-09-30 14:12:46 UTC RemoteUrl: https://github.com/pgajer/grip RemoteRef: HEAD RemoteSha: 5de12956d17e5ea8fa80b2cdd4d7de1834f8b0c1 NeedsCompilation: yes Packaged: 2026-09-30 19:40:02 UTC; root Author: Pawel Gajer [aut, cre], Jonathan Zheng [ctb, cph] (Author and copyright holder of MIT-licensed s_gd2 code adapted for the metric-MDS SGD backend), Daniel Hangan [ctb] (Author of the SGD-MDS implementation in his scikit-learn fork adapted for the metric-MDS SGD backend), The scikit-learn developers [cph] (Copyright holders of BSD-3-Clause code adapted from Daniel Hangan's scikit-learn fork for the metric-MDS SGD backend) Maintainer: Pawel Gajer