Survival Prediction with Spatially Adjusted Protein Summaries R package SurvSPro version 0.1.0 A survival prediction framework using spatially adjusted protein summaries from spatial proteomics data, including imaging mass cytometry data. Cell-level protein intensities are modeled with spatial spline regression to estimate spatially adjusted mean expression and residual variance. Methodological details are described in Ahn et al. (2026) <doi:10.64898/2026.06.08.730964>. Software Depends: R (>= 3.5.0) Imports: dplyr, mgcv, survival, sp Suggests: testthat (>= 3.0.0) Seungjun Ahn <seungjun.ahn@mountsinai.org> Comprehensive R Archive Network (CRAN) Seungjun Ahn [cre, aut] (ORCID: <https://orcid.org/0000-0002-4816-8924>), Eun Jeong Oh [aut] (ORCID: <https://orcid.org/0000-0001-8949-6564>), Diddier Prada [ctb], Ali Shojaie [ctb] GPL-3 2026-06-19 application/tgz https://CRAN.R-project.org/package=SurvSPro doi:10.32614/CRAN.package.SurvSPro