Package: MiMIR 1.4

MiMIR: Metabolomics-Based Models for Imputing Risk

Provides an intuitive framework for ad-hoc statistical analysis of 1H-NMR metabolomics by Nightingale Health. It allows to easily explore new metabolomics measurements assayed by Nightingale Health, comparing the distributions with a large Consortium (BBMRI-nl); project previously published metabolic scores [<doi:10.1016/j.ebiom.2021.103764>, <doi:10.1161/CIRCGEN.119.002610>, <doi:10.1038/s41467-019-11311-9>, <doi:10.7554/eLife.63033>, <doi:10.1161/CIRCULATIONAHA.114.013116>, <doi:10.1007/s00125-019-05001-w>]; and calibrate the metabolic surrogate values to a desired dataset.

Authors:Daniele Bizzarri [aut, cre], Marcel Reinders [aut, ths], Marian Beekman [aut], Pieternella Eline Slagboom [aut, ths], Erik van den Akker [aut, ths]

MiMIR_1.4.tar.gz
MiMIR_1.4.zip(r-4.5)MiMIR_1.4.zip(r-4.4)MiMIR_1.4.zip(r-4.3)
MiMIR_1.4.tgz(r-4.4-any)MiMIR_1.4.tgz(r-4.3-any)
MiMIR_1.4.tar.gz(r-4.5-noble)MiMIR_1.4.tar.gz(r-4.4-noble)
MiMIR_1.4.tgz(r-4.4-emscripten)MiMIR_1.4.tgz(r-4.3-emscripten)
MiMIR.pdf |MiMIR.html
MiMIR/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/danielebizzarri/mimir/issues

Datasets:

On CRAN:

binary-risk-factorsbiomarkerslinear-regressionmetabolitesmetabolomicsnightingale-metabolomicsrisk-factor-modelsrisk-factorssurrogate-models

4.12 score 8 stars 33 scripts 216 downloads 61 exports 179 dependencies

Last updated 2 years agofrom:1746f2d98d. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-winNOTENov 17 2024
R-4.5-linuxNOTENov 17 2024
R-4.4-winNOTENov 17 2024
R-4.4-macNOTENov 17 2024
R-4.3-winOKNov 17 2024
R-4.3-macOKNov 17 2024

Exports:activateButtnapply.fitapply.fit_surroapply.scaleBBMRI_hist_plotbinarize_all_phenoBMI_LDL_eGFRcalculate_surrogate_scorescalib_data_framecalibration_surrocomp_covid_scorecomp.CVD_scorecomp.mort_scorecomp.T2D_Ahola_Ollicor_assocdo_metabowasfind_BBMRI_namesget.pget.sgetECEgetMCEgetvolhist_plotshist_plots_mortalityimpute_missis.symkapmeier_scoresloadingloading_spinLOBOV_accuraciesMetaboWASmodel_coeff_heatMOLEPI_LCBC_headermulti_histNA_messagepheno_barplotsplattCalib_evaluationplattCalibrationplot_corplyplot_na_heatmapplotly_NA_messagepredictions_surrogatesprep_data_COVID_scoreprep_met_for_scoresQCprepQCprep_surrogatesrendertablereport.dimresort.on.presort.on.sroc_surroroc_surro_subplotsscatterplot_predictionsstartAppsubset_metabolites_overlapsubset_samples_misssubset_samples_sdsubset_samples_sd_surrogatessubset_samples_zerottest_scoresttest_surrogates

Dependencies:abindaskpassassertthatbackportsbase64encbootbroombslibcacachemcallrcarcarDatacaretclasscliclockclustercodetoolscolorspacecommonmarkcorrplotcowplotcpp11crayoncrosstalkcurldata.tabledendextendDerivdiagramdigestdoBydplyrDTe1071eggevaluateexactRankTestsfansifarverfastmapfontawesomeforeachFormulafsfuturefuture.applygclusgenericsggplot2ggpubrggrepelggsciggsignifggtextglobalsgluegowergridExtragridtextgtablehardhatheatmaplyhighrhtmltoolshtmlwidgetshttpuvhttripredisobanditeratorsjpegjquerylibjsonliteKernSmoothkm.ciKMsurvknitrlabelinglaterlatticelavalazyevallifecyclelistenvlme4lubridatemagrittrmarkdownMASSMatrixMatrixModelsmatrixStatsmaxstatmemoisemgcvmicrobenchmarkmimeminqaModelMetricsmodelrmunsellmvtnormnlmenloptrnnetnumDerivopensslparallellypbkrtestpermutepillarpkgconfigplotlyplyrpngpolynompROCprocessxprodlimprogressrpromisesproxypspurrrqapquantregR6rappdirsRColorBrewerRcppRcppEigenrecipesregistryreshape2rlangrmarkdownrpartrstatixsassscalesseriationshapeshinyshinycssloadersshinydashboardshinyFilesshinyjsshinyWidgetssourcetoolsSparseMSQUAREMstringistringrsurvivalsurvminersurvMiscsystibbletidyrtidyselecttimechangetimeDatetinytexTSPtzdbutf8vctrsveganviridisviridisLitewebshotwithrxfunxml2xtableyamlzoo

Readme and manuals

Help Manual

Help pageTopics
acc_LOBOVacc_LOBOV
T2D-score BetasAhola_Olli_betas
BBMRI_histBBMRI_hist
multi_histBBMRI_hist_plot
BBMRI_hist_scaledBBMRI_hist_scaled
binarize_all_phenobinarize_all_pheno
BMI_LDL_eGFRBMI_LDL_eGFR
c21c21
calculate_surrogate_scorescalculate_surrogate_scores
comp_covid_scorecomp_covid_score
comp.CVD_scorecomp.CVD_score
comp.mort_scorecomp.mort_score
comp.T2D_Ahola_Ollicomp.T2D_Ahola_Olli
cor_assoccor_assoc
COVID-score betascovid_betas
CVD-score betasCVD_score_betas
find_BBMRI_namesfind_BBMRI_names
hist_plotshist_plots
hist_plots_mortalityhist_plots_mortality
kapmeier_scoreskapmeier_scores
LOBOV_accuraciesLOBOV_accuracies
metabolomics feature nomenclaturesmetabo_names_translator
metabolomics feature subsetsmetabolites_subsets
MetaboWASMetaboWAS
Mortality score betasmort_betas
multi_histmulti_hist
PARAMETERS MetaboAgePARAM_metaboAge
PARAMETERS surrogatesPARAM_surrogates
pheno_barplotspheno_barplots
phenotypic features namesphenotypes_names
plattCalibrationplattCalibration
plot_corplyplot_corply
plot_na_heatmapplot_na_heatmap
prep_data_COVID_scoreprep_data_COVID_score
prep_met_for_scoresprep_met_for_scores
QCprepQCprep
QCprep_surrogatesQCprep_surrogates
roc_surroroc_surro
roc_surro_subplotsroc_surro_subplots
scatterplot_predictionsscatterplot_predictions
startMiMIRstartApp
synthetic metabolomics datasetsynthetic_metabolic_dataset
synthetic metabolomics datasetsynthetic_phenotypic_dataset
ttest_scoresttest_scores
ttest_surrogatesttest_surrogates