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Spatial Methods Workbench v0.3.0 — complete public source distribution

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@sagnikbhadury sagnikbhadury released this 03 Aug 16:10
· 5 commits to master since this release
v0.3.0
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Spatial Methods Workbench v0.3.0 - complete public source distribution

This v0.3.0 release is the reproducible public Workbench distribution.

Included

  • Functional R Shiny application and installable R package
  • 12 guided analysis paths spanning spatial autocorrelation, conditional networks, spatially adjusted 2D/3D networks, prediction, clustering, image regression, mediation, and statistical shape analysis
  • Exact bundled public source for ISPAT, GP-GHS, and ISPAT-3D
  • Curated, license-preserving public source for the related AI/ML, neural, SV-NN, STCAR, and SBLF workflows documented by the Workbench
  • Five executable vignettes, four small simulated datasets, full function/pipeline guidance, method citations, and provenance manifest
  • 51 automated tests plus a release-content audit

Install the complete distribution

  1. Download and extract SpatialMethodsWorkbench-v0.3.0-source.zip below.
  2. Run Rscript install-complete.R in the extracted folder.
  3. Run Rscript verify-installation.R.
  4. Launch locally with shiny::runApp().

See README.md for prerequisites, Windows/macOS/Linux instructions, optional related-engine installation, Docker, privacy restrictions, and troubleshooting. CRAN dependencies may still be downloaded; the three direct method repositories do not need to be cloned separately.

Attribution

Please cite Spatial Methods Workbench and the method-specific publications/software relevant to the workflow used. See REFERENCES.md, CITATION.cff, and vendor/manifest.json.

Only public, release-scoped software and documentation are included. The Workbench computes and exports reproducibility artifacts but does not provide automated scientific interpretation; contact Sagnik Bhadury for interpretation support or collaboration.

Funding acknowledgement

Research reported in this software was supported by the National Cancer Institute of the National Institutes of Health under Award Number R37CA214955-01A1. The content is solely the responsibility of the author and does not necessarily represent the official views of the National Institutes of Health.

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