Package: winn
Title: White Noise Normalization for Mass Spectrometry Profiling Data
Version: 0.1.5
Authors@R: c(
    person(given = "Tanmay", family = "Tanna", email = "tanmay@tanmaytanna.com",
           role = c("aut", "cre", "cph"))
    )
Description: Provides a decision-guided workflow for correcting
        technical variability in chemical profiling data. Tests for
        white noise identify measured features that need correction
        while preserving those that already pass. The workflow combines
        robust outlier adjustment, adaptive drift detection,
        change-point segmentation, batch correction, and probabilistic
        quotient normalization in a single pipeline or as modular
        steps. It supports parameter tuning using pooled
        quality-control samples as well as operation for studies
        without pooled controls.
Depends: R (>= 3.5.0)
Imports: stats, lmtest, mgcv, splines
Suggests: knitr, rmarkdown, sva, testthat (>= 3.0.0)
License: GPL-3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
VignetteBuilder: knitr
Config/testthat/edition: 3
URL: https://github.com/ratschlab/winn
BugReports: https://github.com/ratschlab/winn/issues
Config/roxygen2/version: 8.0.0
Repository: https://ratschlab.r-universe.dev
Date/Publication: 2026-09-16 13:12:21 UTC
RemoteUrl: https://github.com/ratschlab/winn
RemoteRef: HEAD
RemoteSha: f555ef3b972a8f17610ca3f56d3b9320aea6af7f
NeedsCompilation: no
Packaged: 2026-09-28 10:51:16 UTC; root
Author: Tanmay Tanna [aut, cre, cph]
Maintainer: Tanmay Tanna <tanmay@tanmaytanna.com>