SurvSPro: Survival Prediction with Spatially Adjusted Protein Summaries
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>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | dplyr, mgcv, survival, sp |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2026-06-19 |
| DOI: | 10.32614/CRAN.package.SurvSPro |
| Author: | Seungjun Ahn 
[cre, aut],
Eun Jeong Oh
[aut],
Diddier Prada [ctb],
Ali Shojaie [ctb] |
| Maintainer: | Seungjun Ahn <seungjun.ahn at mountsinai.org> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | SurvSPro results |
Documentation:
| Reference manual: | SurvSPro.html , SurvSPro.pdf |
Downloads:
| Package source: | SurvSPro_0.1.0.tar.gz |
| Windows binaries: | r-devel: SurvSPro_0.1.0.zip, r-release: SurvSPro_0.1.0.zip, r-oldrel: SurvSPro_0.1.0.zip |
| macOS binaries: | r-release (arm64): SurvSPro_0.1.0.tgz, r-oldrel (arm64): SurvSPro_0.1.0.tgz, r-release (x86_64): SurvSPro_0.1.0.tgz, r-oldrel (x86_64): SurvSPro_0.1.0.tgz |
Linking:
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