Package: PathwaySpace
Type: Package
Title: Spatial Projection of Network Signals along Geodesic Paths
Version: 1.1.0
Authors@R: 
    c(person("Victor", "Apolonio", role = "ctb"),
      person("Vinicius", "Chagas", role = "ctb"),
      person("Sysbiolab and Collaborators", role = "fnd"),
      person("Mauro", "Castro", role = c("aut", "cre"), email = "mauro.a.castro@gmail.com", comment = c(ORCID = "0000-0003-4942-8131"))
      )
Depends: R(>= 4.4), methods, RGraphSpace(>= 1.1.0)
Imports: grDevices, stats, scales, RANN, igraph, ggplot2, ggrepel,
        lifecycle
Suggests: knitr, rmarkdown, testthat, RedeR
Description: For a given graph containing vertices, edges, and a signal associated with the vertices, the 'PathwaySpace' package performs a convolution operation, which involves a weighted combination of neighboring vertices and their associated signals. The package then uses a decay function to project these signals, creating geodesic paths on a 2D-image space. 'PathwaySpace' could have various applications, such as visualizing network data in a graphical format that highlights the relationships and signal strengths between vertices. It can be particularly useful for understanding the influence of signals through complex networks. By combining graph theory, signal processing, and visualization, the 'PathwaySpace' package provides a novel way of representing graph data.
License: Artistic-2.0
VignetteBuilder: knitr
URL: https://sysbiolab.github.io/PathwaySpace/,
        https://github.com/sysbiolab/PathwaySpace
BugReports: https://github.com/sysbiolab/PathwaySpace/issues
Collate: pspaceChecks.R pspaceSupplements.R pspaceMisc.R
        pspaceWatershed.R pspaceDecay.R pspaceClasses.R
        pspaceGenerics.R pspaceMethods.R pspacePlots.R
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-11-05 15:15:36 UTC; maac
Author: Victor Apolonio [ctb],
  Vinicius Chagas [ctb],
  Sysbiolab and Collaborators [fnd],
  Mauro Castro [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-4942-8131>)
Maintainer: Mauro Castro <mauro.a.castro@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-07 00:30:02 UTC
Built: R 4.6.0; ; 2025-12-07 04:33:27 UTC; windows
