Package: PepsNMR 1.31.0

Manon Martin

PepsNMR: Pre-process 1H-NMR FID signals

This package provides R functions for common pre-procssing steps that are applied on 1H-NMR data. It also provides a function to read the FID signals directly in the Bruker format.

Authors:Manon Martin [aut, cre], Bernadette Govaerts [aut, ths], Benoît Legat [aut], Paul H.C. Eilers [aut], Pascal de Tullio [dtc], Bruno Boulanger [ctb], Julien Vanwinsberghe [ctb]

PepsNMR_1.31.0.tar.gz
PepsNMR_1.31.0.zip(r-4.7)PepsNMR_1.31.0.zip(r-4.6)PepsNMR_1.31.0.zip(r-4.5)
PepsNMR_1.31.0.tgz(r-4.6-any)PepsNMR_1.31.0.tgz(r-4.5-any)
PepsNMR_1.31.0.tar.gz(r-4.7-any)PepsNMR_1.31.0.tar.gz(r-4.6-any)
PepsNMR_1.31.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
PepsNMR/json (API)
NEWS

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

Bug tracker:https://github.com/manonmartin/pepsnmr/issues

On BioConductor:PepsNMR-1.31.0(bioc 3.24)PepsNMR-1.30.0(bioc 3.23)

softwarepreprocessingvisualizationmetabolomicsdataimport

6.61 score 8 stars 1 packages 28 scripts 465 downloads 2 mentions 22 exports 30 dependencies

Last updated from:c0ac83e00b. Checks:1 WARNING, 7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksWARNING194
linux-devel-x86_64NOTE439
source / vignettesOK322
linux-release-x86_64NOTE423
macos-release-arm64NOTE299
macos-oldrel-arm64NOTE280
windows-develNOTE672
windows-releaseNOTE617
windows-oldrelNOTE603
wasm-releaseOK121

Exports:ApodizationBaselineCorrectionBucketingDrawDrawPCADrawSignalFirstOrderPhaseCorrectionFourierTransformGroupDelayCorrectionInternalReferencingNegativeValuesZeroingNormalizationPreprocessingChainReadFidReadFidsRegionRemovalSolventSuppressionWarpingWindowSelectionZeroFillingZeroOrderPhaseCorrectionZoneAggregation

Dependencies:clicpp11farverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMatrixmatrixStatsplyrptwR6RColorBrewerRcppRcppArmadilloRcppDEreshape2rlangS7scalesstringistringrvctrsviridisLitewithr

Application of PepsNMR on the Human Serum dataset

Rendered fromPepsNMR_minimal_example.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2019-12-08
Started: 2018-01-15