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Provides tools for comparing groups using sparse principal component analysis (SPCA). Includes functions for identifying and visualizing influential variables, assessing variable selection stability through bootstrapping, and exploring associations with clinical traits. SPCA is implemented using the method described in <doi:10.1198/106186006X113430>.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | dplyr, elasticnet, ggplot2, graphics, rlang, stats, tidyr |
| Suggests: | spelling, testthat (≥ 3.0.0) |
| Published: | 2026-11-07 |
| DOI: | 10.32614/CRAN.package.seam |
| Author: | Marketa Barac Makarova [aut, cre], Jan Kolacek [ctb] |
| Maintainer: | Marketa Barac Makarova <marketa.makarova at mail.muni.cz> |
| BugReports: | https://github.com/marketa-makarova/seam/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/marketa-makarova/seam |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README |
| CRAN checks: | seam results |
| Reference manual: | seam.html , seam.pdf |
| Package source: | seam_0.1.0.tar.gz |
| Windows binaries: | r-devel: seam_0.1.0.zip, r-release: seam_0.1.0.zip, r-oldrel: seam_0.1.0.zip |
| macOS binaries: | r-release (arm64): seam_0.1.0.tgz, r-oldrel (arm64): seam_0.1.0.tgz, r-release (x86_64): seam_0.1.0.tgz, r-oldrel (x86_64): seam_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.