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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 |
| Reference manual: | qcrlscR.pdf |
| Package source: | qcrlscR_0.1.3.tar.gz |
| Windows binaries: | r-devel: not available, 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 |
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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.