qcrlscR: Quality Control–based Robust LOESS Signal Correction

An R implementation of quality control–based robust LOESS(local polynomial regression fitting) signal correction for metabolomics data analysis, described in Dunn, W., Broadhurst, D., Begley, P. et al. (2011) <doi:10.1038/nprot.2011.335>. The optimisation of LOESS's span parameter using generalized cross-validation (GCV) is provided as an option. In addition to signal correction, 'qcrlscR' includes some utility functions like batch shifting and data filtering.

Version:	0.1.3
Depends:	R (≥ 3.0.0)
Published:	2025-04-22
DOI:	10.32614/CRAN.package.qcrlscR
Author:	Wanchang Lin [aut, cre], Warwick Dunn [aut]
Maintainer:	Wanchang Lin <wanchanglin at hotmail.com>
BugReports:	https://github.com/wanchanglin/qcrlscR/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/wanchanglin/qcrlscR
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	qcrlscR results

Documentation:

Reference manual:

qcrlscR.html , qcrlscR.pdf

Downloads:

Package source:	qcrlscR_0.1.3.tar.gz
Windows binaries:	r-release: qcrlscR_0.1.3.zip, r-oldrel: qcrlscR_0.1.3.zip
macOS binaries:	r-release (arm64): qcrlscR_0.1.3.tgz, r-oldrel (arm64): qcrlscR_0.1.3.tgz, r-release (x86_64): qcrlscR_0.1.3.tgz, r-oldrel (x86_64): qcrlscR_0.1.3.tgz

Linking:

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