Package: TwoSampleMR 0.6.8
TwoSampleMR: Two Sample MR Functions and Interface to MR Base Database
A package for performing Mendelian randomization using GWAS summary data. It uses the IEU GWAS database <https://gwas.mrcieu.ac.uk/> to automatically obtain data, and a wide range of methods to run the analysis. You can use the MR-Base web app <https://www.mrbase.org/> to try out a limited range of the functionality in this package, but for any serious work we strongly recommend using this R package.
Authors:
TwoSampleMR_0.6.8.tar.gz
TwoSampleMR_0.6.8.zip(r-4.5)TwoSampleMR_0.6.8.zip(r-4.4)TwoSampleMR_0.6.8.zip(r-4.3)
TwoSampleMR_0.6.8.tgz(r-4.4-any)TwoSampleMR_0.6.8.tgz(r-4.3-any)
TwoSampleMR_0.6.8.tar.gz(r-4.5-noble)TwoSampleMR_0.6.8.tar.gz(r-4.4-noble)
TwoSampleMR_0.6.8.tgz(r-4.4-emscripten)TwoSampleMR_0.6.8.tgz(r-4.3-emscripten)
TwoSampleMR.pdf |TwoSampleMR.html✨
TwoSampleMR/json (API)
NEWS
# Install 'TwoSampleMR' in R: |
install.packages('TwoSampleMR', repos = c('https://mrcieu.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mrcieu/twosamplemr/issues
Last updated 2 months agofrom:578c68fa75. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 25 2024 |
R-4.5-win | OK | Nov 25 2024 |
R-4.5-linux | OK | Nov 25 2024 |
R-4.4-win | OK | Nov 25 2024 |
R-4.4-mac | OK | Nov 25 2024 |
R-4.3-win | OK | Nov 25 2024 |
R-4.3-mac | OK | Nov 25 2024 |
Exports:%>%add_metadataadd_rsqallele_frequencyavailable_outcomesclump_datacombine_all_mrresultscombine_datacontingencyconvert_outcome_to_exposuredat_to_MRInputdat_to_RadialMRdefault_parametersdirectionality_testeffective_nenrichmentenrichment_method_listestimate_trait_sdextract_instrumentsextract_outcome_datafishers_combined_testforest_plotforest_plot_1_to_manyformat_1_to_manyformat_aries_mqtlformat_dataformat_gtex_eqtlformat_gwas_catalogformat_metab_qtlsformat_mr_resultsformat_proteomic_qtlsgenerate_odds_ratiosget_p_from_r2nget_population_allele_frequencyget_r_from_bsenget_r_from_lorget_r_from_pnget_seharmonise_dataharmonise_ld_datIsqld_matrixldsc_h2ldsc_rgmake_datmrmr_density_plotmr_egger_regressionmr_egger_regression_bootstrapmr_forest_plotmr_funnel_plotmr_heterogeneitymr_ivwmr_ivw_femr_ivw_mremr_ivw_radialmr_leaveoneoutmr_leaveoneout_plotmr_medianmr_meta_fixedmr_meta_fixed_simplemr_meta_randommr_method_listmr_modemr_moemr_penalised_weighted_medianmr_pleiotropy_testmr_rapsmr_reportmr_ruckermr_rucker_bootstrapmr_rucker_cooksdistancemr_rucker_jackknifemr_scatter_plotmr_signmr_simple_medianmr_simple_modemr_simple_mode_nomemr_singlesnpmr_steigermr_steiger2mr_two_sample_mlmr_uwrmr_wald_ratiomr_weighted_medianmr_weighted_modemr_weighted_mode_nomemr_wrappermv_basicmv_extract_exposuresmv_extract_exposures_localmv_harmonise_datamv_ivwmv_lasso_feature_selectionmv_multiplemv_residualmv_subsetpower_pruneread_exposure_dataread_outcome_datarun_mr_pressorun_mrmixsize.prunesort_1_to_manysplit_exposuresplit_outcomestandardise_unitssteiger_filteringsteiger_sensitivitysubset_on_methodtrimweighted_medianweighted_median_bootstrap
Dependencies:askpassbase64encbitbit64bootbslibcachemclicliprcodetoolscolorspaceCompQuadFormcowplotcpp11crayoncrosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomeforeachfsgenericsggplot2glmnetglueGPArotationgridExtragtablehighrhmshtmltoolshtmlwidgetshttrieugwasrisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelme4magrittrMASSmathjaxrMatrixmemoisemetametadatmetaformgcvmimeminqamnormtmr.rapsMRMixMRPRESSOmunsellnlmenloptrnortestnumDerivopensslpbapplypillarpkgconfigplotlyplyrprettyunitsprogresspromisespsychpurrrR6RadialMRrappdirsRColorBrewerRcppRcppEigenreadrreshape2rlangrmarkdownsassscalesshapestringistringrsurvivalsystibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevroomwithrxfunxml2yaml
Exposure data
Rendered fromexposure.Rmd
usingknitr::rmarkdown
on Nov 25 2024.Last update: 2024-03-21
Started: 2020-01-11
Harmonise data
Rendered fromharmonise.Rmd
usingknitr::rmarkdown
on Nov 25 2024.Last update: 2024-09-06
Started: 2020-01-11
Introduction
Rendered fromintroduction.Rmd
usingknitr::rmarkdown
on Nov 25 2024.Last update: 2024-04-22
Started: 2020-01-11
Major changes to the IEU GWAS resources for 2020
Rendered fromgwas2020.Rmd
usingknitr::rmarkdown
on Nov 25 2024.Last update: 2024-08-21
Started: 2020-01-11
Outcome data
Rendered fromoutcome.Rmd
usingknitr::rmarkdown
on Nov 25 2024.Last update: 2024-09-06
Started: 2020-01-11
Perform MR
Rendered fromperform_mr.Rmd
usingknitr::rmarkdown
on Nov 25 2024.Last update: 2024-09-26
Started: 2020-01-11