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digiNORM: Data-Driven Digital PCR Normalization

Adopts the general least squares-based data-driven normalization strategy developed by Heckmann et al. (2011) <doi:10.1186/1471-2105-12-250> to correct for technical variance in gene expression data generated via digital polymerase chain reaction (dPCR). Performs normalization of raw copy numbers and also calculates relative variability metrics that can be used to assess the impact of normalization on variance.

Version: 0.1.0
Depends: R (≥ 3.5)
Imports: utils
Suggests: testthat (≥ 3.0.0)
Published: 2026-04-16
DOI: 10.32614/CRAN.package.digiNORM
Author: Grant C. O'Connell ORCID iD [aut, cre]
Maintainer: Grant C. O'Connell <goconnell.phd at gmail.com>
License: GPL-3
NeedsCompilation: no
Citation: digiNORM citation info
CRAN checks: digiNORM results

Documentation:

Reference manual: digiNORM.html , digiNORM.pdf

Downloads:

Package source: digiNORM_0.1.0.tar.gz
Windows binaries: r-devel: digiNORM_0.1.0.zip, r-release: digiNORM_0.1.0.zip, r-oldrel: digiNORM_0.1.0.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): digiNORM_0.1.0.tgz, r-oldrel (x86_64): digiNORM_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=digiNORM to link to this page.

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.