Package index
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swimmerplot() - Swimmer Plot
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swimmerplotClass - Swimmer Plot
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waterfall() - Treatment Response Analysis
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waterfallClass - Treatment Response Analysis
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diagnosticmeta() - Diagnostic Test Meta-Analysis for Pathology
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diagnosticmetaClass - Diagnostic Test Meta-Analysis for Pathology
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ihcheterogeneity() - IHC Heterogeneity Analysis
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calculate_sensitivity() - Calculate test sensitivity
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calculate_specificity() - Calculate test specificity
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calculate_ppv() - Calculate positive predictive value (PPV)
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calculate_npv() - Calculate negative predictive value (NPV)
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calculate_plr() - Calculate positive likelihood ratio
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calculate_nlr() - Calculate negative likelihood ratio
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calculate_auc() - Approximate AUC from sensitivity and specificity
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validateROCInputs() - Validate inputs for ROC analysis
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bootstrapIDI() - Bootstrap IDI calculation with confidence intervals
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validateIHCData() - Validate IHC Data Requirements
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validateIHCClustering() - Validate IHC Clustering Parameters
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convertIHCToNumeric() - Convert IHC Marker Data to Numeric Matrix
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convertIHCMarkerToNumeric() - Convert IHC Marker Data Types Safely
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calculateIHCMarkerSummary() - Calculate IHC Marker Summary Statistics
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calculateHScore() - Calculate H-Score from Intensity and Proportion
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calculateIHCDistance() - Calculate Distance Matrix for IHC Data
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calculateIHCSilhouette() - Calculate Silhouette Analysis for Clustering Quality
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showIHCDataRequirements() - Generate IHC Data Requirements HTML
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getIHCTheme() - Get Professional IHC Visualization Theme
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getIHCColorPalette() - Get Professional Color Palette for IHC Visualizations
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formatIHCPValue() - Format P-values Consistently for IHC Reports
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getIHCSignificanceStars() - Get Significance Stars for P-values
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safe_divide() - Safe division function
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prop_to_percent() - Convert proportion to percentage string
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raw_to_prob() - Convert raw test values to predicted probabilities using ROC curve
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is_in_range() - Check if value is within valid range
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load_required_package() - Load required packages with error handling
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`%>%` - Pipe operator
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print(<sensSpecTable>) - Print formatted HTML table for sensitivity/specificity results
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clinicopath_startup_message() - Package startup message
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hello() - Hello, World!