Spatial Methods Workbench v0.2.0

Expands the public workbench from eight to twelve executable analysis paths. Adds spatially weighted phenotype clustering, shallow-neural spatial prediction, wide-image scalar regression screening, and latent image-to-image regression. Includes upstream curriculum/software/publication attribution, explicit screening-versus-Bayesian-engine labels, no automated result explanation, 29 passing tests, and the existing citation/provenance controls.

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.