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