Package index
Start Here
Run a complete audit, summarize risk, plan downstream analysis, and visualize key diagnostics.
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moat() - Audit a microbiome study design
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summary(<moat_audit>) - Print a MOAT audit summary
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autoplot(<moat_audit>) - Plot a MOAT audit risk dashboard
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plan_analysis() - Generate a downstream analysis plan from a MOAT audit
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report() - Render a MOAT audit HTML report
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module_risks() - Extract module-level audit risks
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as.data.frame(<moat_audit>) - Coerce a MOAT audit to a compact data frame
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audit_reasons() - Extract audit risk reasons
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audit_recommendations() - Extract audit recommendations
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risk_thresholds() - Risk threshold reference
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plot_design() - Plot outcome distribution across a design variable
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plot_ordination() - Plot PCoA ordination coordinates from a batch audit
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plot_variance() - Plot PERMANOVA variance explained by audited terms
Design And Correction Audits
Audit metadata confounding and evaluate whether batch adjustment is identifiable.
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check_design() - Check experimental design metadata associations with the outcome
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check_metadata_predictability() - Check whether metadata alone predicts the outcome
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check_continuous_design() - Check continuous metadata associations with the outcome
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check_balance() - Check batch-by-outcome balance
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check_model_matrix() - Check model matrix identifiability
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check_correction() - Check batch correction feasibility
Microbiome Distances And Batch Effects
Transform microbiome data, compute distances, and audit distance-based batch effects.
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transform_biome() - Transform a feature-by-sample microbiome matrix
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compute_biome_distance() - Compute distances between microbiome samples
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check_permanova() - Check PERMANOVA variation explained by metadata variables
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check_dispersion() - Check multivariate dispersion differences across metadata variables
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check_feature_batch() - Check feature-level batch associations
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check_batch() - Check microbiome batch effects across distances
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check_repeated_measures() - Check repeated-measure leakage risk
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check_leakage() - Check validation leakage risk
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toy_moat - Toy MOAT Microbiome Dataset
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is_moat_audit() - Test if an object is a moat_audit
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`%>%` - Pipe operator