Skip to contents

All functions

Medusa Medusa-package
Medusa: Mendelian Estimation in Distributed Standardized Analytics
buildMRCohort()
Site-level cohort extraction from OMOP CDM
buildMRCovariates()
Covariate assembly using FeatureExtraction
complementAllele()
Get Complement of a DNA Allele
computeApproxFStatistic()
Compute Approximate F-statistic from GWAS Summary Statistics
computeMREstimate()
Wald ratio MR estimate from pooled profile likelihood
convertGenotypeString()
Convert VCF-Style Genotype Strings to Integer Allele Dosage
createDefaultMRCovariateSettings()
Default FeatureExtraction settings for Medusa
createInstrumentTable()
Build instrument table from user-provided data
exportSiteProfile()
Export a Site Profile to CSV
fitOutcomeModel()
Outcome model with exact grid likelihood evaluation
generateMRReport()
Self-contained HTML report for MR analysis
getMRInstruments()
Instrument assembly from OpenGWAS
harmonizeAlleles()
Allele harmonization for Mendelian Randomization
importSiteProfile()
Import a Site Profile from CSV
isStrandAmbiguous()
Check for Strand-Ambiguous SNPs
launchResultsExplorer()
Shiny dashboard for MR diagnostics and results
mrTheme()
Consistent plotting theme for Medusa package
plotLikelihoodProfile()
Likelihood profile visualization
plotSensitivityForest()
Forest plot comparing MR methods
poolLikelihoodProfiles()
Federated one-shot likelihood pooling
runInstrumentDiagnostics()
Instrument diagnostics for MR analysis
runNegativeControlAnalysis()
Empirical method validation using negative control outcomes
runSensitivityAnalyses()
Standard Mendelian Randomization sensitivity analyses
simulateCovariateData()
Simulate Covariate Data
simulateInstrumentTable()
Simulate an Instrument Table
simulateMRData()
Simulate MR Data with Known Causal Effect
simulateNegativeControlOutcomes()
Simulate Negative Control Outcome Columns
simulateSiteProfiles()
Simulate Site Profile Likelihood Objects
validateAgainstTwoSampleMR()
Single-site cross-check against standard summary-data MR