Package: notameStats 1.3.0

Vilhelm Suksi

notameStats: Workflow for non-targeted LC-MS metabolic profiling

Provides univariate and multivariate statistics for feature prioritization in untargeted LC-MS metabolomics research.

Authors:Anton Klåvus [aut, cph], Jussi Paananen [aut, cph], Oskari Timonen [aut, cph], Atte Lihtamo [aut], Vilhelm Suksi [aut, cre], Retu Haikonen [aut], Leo Lahti [aut], Kati Hanhineva [aut], Ville Koistinen [ctb], Olli Kärkkäinen [ctb], Artur Sannikov [ctb]

notameStats_1.3.0.tar.gz
notameStats_1.3.0.zip(r-4.7)notameStats_1.3.0.zip(r-4.6)notameStats_1.3.0.zip(r-4.5)
notameStats_1.3.0.tgz(r-4.6-any)notameStats_1.3.0.tgz(r-4.5-any)
notameStats_1.3.0.tar.gz(r-4.7-any)notameStats_1.3.0.tar.gz(r-4.6-any)
notameStats_1.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
notameStats/json (API)
NEWS

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

Bug tracker:https://github.com/hanhineva-lab/notamestats/issues

On BioConductor:notameStats-1.3.0(bioc 3.24)notameStats-1.2.0(bioc 3.23)

biomedicalinformaticsmetabolomicsdataimportmassspectrometrybatcheffectmultiplecomparisonnormalizationqualitycontrolvisualizationpreprocessing

4.95 score 5 scripts 206 downloads 25 exports 59 dependencies

Last updated from:66400ee40b. Checks:6 NOTE, 2 ERROR, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE209
linux-devel-x86_64ERROR440
source / vignettesOK346
linux-release-x86_64NOTE432
macos-release-arm64NOTE232
macos-oldrel-arm64NOTE323
windows-develERROR1767
windows-releaseNOTE1753
windows-oldrelNOTE1665
wasm-releaseOK171

Exports:cohens_dfit_rffold_changeimportance_rfmixomics_plsmixomics_pls_optimizemixomics_plsdamixomics_plsda_optimizemixomics_spls_optimizemixomics_splsda_optimizemuvr_analysisperform_aucperform_correlation_testsperform_homoscedasticity_testsperform_kruskal_wallisperform_lmperform_lm_anovaperform_lmerperform_logisticperform_non_parametricperform_oneway_anovaperform_permanovaperform_t_testsummarize_resultssummary_statistics

Dependencies:abindbackportsBHBiobaseBiocGenericsBiocParallelbroomclicodetoolscpp11DelayedArraydplyrfarverformatRfutile.loggerfutile.optionsgenericsGenomicRangesggplot2gluegtableIRangesisobandlabelinglambda.rlatticelifecyclemagrittrMatrixMatrixGenericsmatrixStatsnotameopenxlsxpillarpkgconfigpurrrR6RColorBrewerRcpprlangS4ArraysS4VectorsS7scalesSeqinfosnowSparseArraystringistringrSummarizedExperimenttibbletidyrtidyselectutf8vctrsviridisLitewithrXVectorzip

Non-targeted metabolomics feature prioritization

Rendered fromNon-targeted_metabolomics_feature_prioritization.Rmdusingknitr::rmarkdownon May 31 2026.

Last update: 2025-09-08
Started: 2025-09-02

Readme and manuals

Help Manual

Help pageTopics
Cohen's Dcohens_d
Fit Random Forestfit_rf
Fold changefold_change
Feature importance in random forestimportance_rf
Multivariate modelling with minimally biased variable selection (MUVR)muvr_analysis
Area under curveperform_auc
Correlation testperform_correlation_tests
Test homoscedasticityperform_homoscedasticity_tests
Kruskal-Wallis rank-sum testperform_kruskal_wallis
Linear modelsperform_lm
Linear models ANOVA tableperform_lm_anova
Linear mixed modelsperform_lmer
Logistic regressionperform_logistic
Pairwise and paired non-parametric testsperform_non_parametric
Welch's ANOVA and classic ANOVAperform_oneway_anova
PERMANOVAperform_permanova
Pairwise and paired t-testsperform_t_test
PLSmixomics_pls mixomics_pls_optimize mixomics_spls_optimize pls
PLS-DAmixomics_plsda mixomics_plsda_optimize mixomics_splsda_optimize pls_da
Statistics cleaningsummarize_results
Summary statisticssummary_statistics