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Fits bootstrap ensembles of penalized regression models on bulk gene-expression data, derives per-sample uncertainty scores from out-of-bag predictions, and tests whether technical covariates explain that uncertainty. The bootstrap method is described by Efron and Tibshirani (1993, ISBN:9780412042317), and elastic-net regression follows Friedman, Hastie, and Tibshirani (2010) <doi:10.18637/jss.v033.i01>. The optional immunedeconv package, used for immune-cell deconvolution, is available from GitHub <https://github.com/omnideconv/immunedeconv>.
| Version: | 0.1.3 |
| Depends: | R (≥ 4.2.0) |
| Imports: | glmnet, future.apply, splines, stats, graphics |
| Suggests: | testthat (≥ 3.0.0), SummarizedExperiment, knitr, rmarkdown, immunedeconv |
| Published: | 2026-11-03 |
| DOI: | 10.32614/CRAN.package.uncertR |
| Author: | Tanay Belapurkar [aut, cre] |
| Maintainer: | Tanay Belapurkar <btanay041 at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | uncertR results |
| Reference manual: | uncertR.html , uncertR.pdf |
| Vignettes: |
Getting started with uncertR (source) |
| Package source: | uncertR_0.1.3.tar.gz |
| Windows binaries: | r-devel: uncertR_0.1.3.zip, r-release: uncertR_0.1.3.zip, r-oldrel: uncertR_0.1.3.zip |
| macOS binaries: | r-release (arm64): uncertR_0.1.3.tgz, r-oldrel (arm64): uncertR_0.1.3.tgz, r-release (x86_64): uncertR_0.1.3.tgz, r-oldrel (x86_64): uncertR_0.1.3.tgz |
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These binaries (installable software) and packages are in development.
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