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MiMIR  

Metabolomics-Based Models for Imputing Risk
View on CRAN: Click here


Download and install MiMIR package within the R console
Install from CRAN:
install.packages("MiMIR")

Install from Github:
library("remotes")
install_github("cran/MiMIR")

Install by package version:
library("remotes")
install_version("MiMIR", "1.5")



Attach the package and use:
library("MiMIR")
Maintained by
Daniele Bizzarri
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-04-15
Latest Update: 2024-02-01
Description:
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 [, , , , , ]; and calibrate the metabolic surrogate values to a desired dataset.
How to cite:
Daniele Bizzarri (2022). MiMIR: Metabolomics-Based Models for Imputing Risk. R package version 1.5, https://cran.r-project.org/web/packages/MiMIR. Accessed 06 Oct. 2026.
Previous versions and publish date:
1.2 (2022-04-15 12:32), 1.3 (2022-05-18 16:30), 1.4 (2022-05-23 13:30), 1.5 (2024-02-01 09:50), (2026-07-09 08:10)
Other packages that cited MiMIR R package
View MiMIR citation profile
Other R packages that MiMIR depends, imports, suggests or enhances
Complete documentation for MiMIR
Functions, R codes and Examples using the MiMIR R package
Some associated functions: Ahola_Olli_betas . BBMRI_hist . BBMRI_hist_plot . BBMRI_hist_scaled . BMI_LDL_eGFR . CVD_score_betas . LOBOV_accuracies . MOLEPI_LCBC_header . MetaboWAS . NA_message . PARAM_metaboAge . PARAM_surrogates . QCprep . QCprep_surrogates . acc_LOBOV . activateButtn . apply.fit . apply.fit_surro . apply.scale . binarize_all_pheno . c21 . calculate_surrogate_scores . calib_data_frame . calibration_surro . comp.CVD_score . comp.T2D_Ahola_Olli . comp.mort_score . comp_covid_score . cor_assoc . covid_betas . do_metabowas . find_BBMRI_names . get.p . get.s . getECE . getMCE . getvol . hist_plots . hist_plots_mortality . impute_miss . is.sym . kapmeier_scores . loading . loading_spin . metabo_names_translator . metabolites_subsets . model_coeff_heat . mort_betas . multi_hist . pheno_barplots . phenotypes_names . plattCalib_evaluation . plattCalibration . plot_corply . plot_na_heatmap . plotly_NA_message . predictions_surrogates . prep_data_COVID_score . prep_met_for_scores . rendertable . report.dim . resort.on.p . resort.on.s . roc_surro . roc_surro_subplots . scatterplot_predictions . startApp . subset_metabolites_overlap . subset_samples_miss . subset_samples_sd . subset_samples_sd_surrogates . subset_samples_zero . synthetic_metabolic_dataset . synthetic_phenotypic_dataset . ttest_scores . ttest_surrogates . 
Some associated R codes: datasets.R . launchApp.R . predictors_functions.R . utils.R .  Full MiMIR package functions and examples
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