Package: qcrlscR 0.1.3

Wanchang Lin

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.

Authors:Wanchang Lin [aut, cre], Warwick Dunn [aut]

qcrlscR_0.1.3.tar.gz
qcrlscR_0.1.3.zip(r-4.7-any)qcrlscR_0.1.3.zip(r-4.6-any)qcrlscR_0.1.3.zip(r-4.5-any)
qcrlscR_0.1.3.tgz(r-4.6-any)qcrlscR_0.1.3.tgz(r-4.5-any)
qcrlscR_0.1.3.tar.gz(r-4.7-any)qcrlscR_0.1.3.tar.gz(r-4.6-any)
qcrlscR_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
qcrlscR/json (API)

# Install 'qcrlscR' in R:
install.packages('qcrlscR', repos = c('https://wanchanglin.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/wanchanglin/qcrlscr/issues

Datasets:
  • man_qc - Man_qc: test data for QC-RLSC

On CRAN:

Conda:

3.00 score 2 stars 168 downloads 7 exports 0 dependencies

Last updated from:8fa5db4072. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK125
source / vignettesOK147
linux-releaseOK111
macos-releaseOK106
macos-oldrelOK213
windows-develOK60
windows-releaseOK60
windows-oldrelOK82
wasm-releaseOK120

Exports:batch.shiftmv.filtermv.filter.qcmv.percoutl.det.uqc.rlscqc.rlsc.wrap

Dependencies: