Package: uncertR
Type: Package
Title: Bootstrap Prediction Uncertainty and Its Biological Drivers in
        Gene-Expression Models
Version: 0.1.3
Authors@R: person("Tanay", "Belapurkar", email = "btanay041@gmail.com", role = c("aut", "cre"))
Description: 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>.
Encoding: UTF-8
Depends: R (>= 4.2.0)
License: MIT + file LICENSE
Imports: glmnet, future.apply, splines, stats, graphics
Suggests: testthat (>= 3.0.0), SummarizedExperiment, knitr, rmarkdown,
        immunedeconv
VignetteBuilder: knitr
Config/roxygen2/version: 8.1.0
NeedsCompilation: no
Packaged: 2026-11-03 18:41:58 UTC; root
Author: Tanay Belapurkar [aut, cre]
Maintainer: Tanay Belapurkar <btanay041@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-11-03 15:24:05 UTC
RemoteUrl: https://github.com/cran/uncertR
RemoteRef: HEAD
RemoteSha: f5ba096a75d4b8b3f9826276353eec796f36921e