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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.3 |
rolling linux/jammy R-4.5 | qcrlscR_0.1.3.tar.gz |
2.7 MiB |
0.1.3 |
rolling linux/noble R-4.5 | qcrlscR_0.1.3.tar.gz |
2.7 MiB |
0.1.3 |
rolling source/ R- | qcrlscR_0.1.3.tar.gz |
2.4 MiB |
0.1.3 |
latest linux/jammy R-4.5 | qcrlscR_0.1.3.tar.gz |
2.7 MiB |
0.1.3 |
latest linux/noble R-4.5 | qcrlscR_0.1.3.tar.gz |
2.7 MiB |
0.1.3 |
latest source/ R- | qcrlscR_0.1.3.tar.gz |
2.4 MiB |
0.1.3 |
2026-04-26 source/ R- | qcrlscR_0.1.3.tar.gz |
2.4 MiB |
0.1.3 |
2026-04-23 source/ R- | qcrlscR_0.1.3.tar.gz |
2.4 MiB |
0.1.3 |
2026-04-09 windows/windows R-4.5 | qcrlscR_0.1.3.zip |
2.7 MiB |