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: 2026-10-20 04:48:29 UTC; tanay
Author: Tanay Belapurkar [aut, cre]
Maintainer: Tanay Belapurkar <btanay041@gmail.com>
Repository: CRAN
Date/Publication: 2026-11-03 12:10:02 UTC
Built: R 4.6.1; ; 2026-11-03 14:08:35 UTC; unix
