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  "Title": "Antimicrobial Resistance Surveillance Preprocessing and Burden\nEstimation",
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  "Authors@R": "c(\nperson(\n\"Nilanjana\", \"Dey\",\nemail = \"nilanjanadey276@gmail.com\",\nrole = c(\"aut\")\n),\nperson(\n\"Nima\", \"Jijo\",\nemail = \"nimajijopallath@gmail.com\",\nrole = c(\"aut\")\n),\nperson(\n\"Namrata\", \"Kharat\",\nemail = \"namratak.ndmc@gmail.com\",\nrole = c(\"aut\")\n),\nperson(\n\"Saket\", \"Choudhary\",\nemail = \"saketc@iitb.ac.in\",\nrole = c(\"aut\", \"cre\")\n)\n)",
  "Description": "anumaan provides a preprocessing pipeline for\nantimicrobial resistance (AMR) surveillance data, exploratory\ndata analysis (EDA) tools for reviewing cohorts prior to\nmodelling, and burden estimation. Supports polymicrobial\nweighting, MDR/XDR classification, resistance profile\nestimation, and burden estimation calculations.",
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  "Date/Publication": "2026-10-08 05:22:27 UTC",
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  "_exports": [
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    "amr_config",
    "assess_gibbs_profile_stability",
    "bootstrap_profiles_convex",
    "build_constraint_matrix",
    "check_profile_constraints",
    "class_display_label",
    "class_pair_label",
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    "compare_distribution_aic",
    "compute_event_profile_probabilities",
    "compute_hospital_daly",
    "compute_marginal_resistance",
    "compute_marginals_from_data",
    "compute_pairwise_coresistance",
    "compute_pairwise_from_data",
    "compute_polymicrobial_weight",
    "compute_posterior_predictive_status",
    "compute_prior_predictive_fingerprint",
    "compute_prior_predictive_status",
    "compute_probit_ppc_statistics",
    "compute_processing_statistics",
    "compute_profile_validation_status",
    "compute_resistance_profiles",
    "daly_add_rr_mappings",
    "daly_assign_rr_to_profiles",
    "daly_calc_case_fatality",
    "daly_calc_cr_l",
    "daly_calc_deaths_by_cause",
    "daly_calc_deaths_by_syndrome",
    "daly_calc_incidence_from_cfr",
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    "daly_calc_paf_mortality",
    "daly_calc_pathogen_fraction_fatal",
    "daly_calc_resistance_prevalence_fatal",
    "daly_calc_syndrome_fraction",
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    "daly_calc_yld_attributable",
    "daly_calc_yll_associated",
    "daly_calc_yll_attributable",
    "daly_compute_patient_los",
    "daly_count_incident_cases",
    "daly_derive_hai_cai_for_mortality",
    "daly_filter_profiles_to_rr_classes",
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    "daly_fit_los_rr_distribution",
    "daly_fit_mortality_rr",
    "daly_get_top_pathogens",
    "daly_load_rr_reference",
    "default_column_mappings",
    "detect_preprocessing_capabilities",
    "eda_theme",
    "enumerate_binary_profiles",
    "estimate_profiles_convex",
    "estimate_resistance_profiles",
    "export_report",
    "fit_bayesian_multivariate_probit",
    "fit_distributions",
    "flag_polymicrobial",
    "generate_preprocessing_report",
    "get_age_bins",
    "get_los_by_resistance",
    "hospital_display_label",
    "infer_patient_syndrome_wide",
    "mask_and_validate_ast",
    "plot_abx_complex_heatmap",
    "plot_abx_heatmap",
    "plot_abx_susceptibility",
    "plot_age_ridge",
    "plot_burden_by_hospital",
    "plot_burden_by_organism",
    "plot_death_discharged",
    "plot_hai_cai_by_facility",
    "plot_infection_type_by_location",
    "plot_location_by_facility",
    "plot_los_by_agebin",
    "plot_los_distributions",
    "plot_los_ridge",
    "plot_mono_poly_by_facility",
    "plot_omega_convergence_heatmap",
    "plot_omega_correlation_heatmap",
    "plot_omega_degeneracy_diagnostic",
    "plot_omega_summary_table",
    "plot_outcome_by_agebin",
    "plot_outcome_by_organism",
    "plot_outcome_by_year",
    "plot_outcome_distribution",
    "plot_patients_by_hospital",
    "plot_probit_beta_family_diagnostics",
    "plot_probit_diagnostics",
    "plot_probit_fixed_effect_diagnostics",
    "plot_probit_posterior_predictive_checks",
    "plot_probit_worst_offender_diagnostics",
    "plot_probit_worst_parameters",
    "plot_resistance_by_agebin",
    "plot_resistance_by_organism",
    "plot_resistance_by_sample",
    "plot_syndrome_distribution",
    "plot_top_organisms",
    "plot_yld_heatmap",
    "plot_yll_heatmap",
    "prep_apply_column_map",
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    "prep_assign_age_bins",
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    "prep_attrition_flow",
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    "prep_check_columns",
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    "prep_check_organism_ast_consistency",
    "prep_classify_antibiotic_class",
    "prep_classify_aware",
    "prep_classify_mdr_xdr",
    "prep_classify_mortality",
    "prep_classify_readmission",
    "prep_clean_ast_values",
    "prep_clean_optional_columns",
    "prep_coerce_dates",
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    "prep_create_resistance_profile",
    "prep_create_wide_ast_matrix",
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    "prep_deduplicate_ast",
    "prep_deduplicate_events",
    "prep_derive_dob_from_components",
    "prep_derive_hai_cai",
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    "prep_detect_schema_drift",
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    "prep_fill_age",
    "prep_filter_analysis_ready",
    "prep_filter_fungal",
    "prep_filter_minimally_usable",
    "prep_flag_contaminants",
    "prep_flag_hai_inferred",
    "prep_flag_invalid_ast",
    "prep_flag_organism_unmatched",
    "prep_flag_polymicrobial",
    "prep_flag_readmission",
    "prep_get_contaminant_list",
    "prep_harmonize_ast",
    "prep_infer_department",
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    "prep_is_contaminant",
    "prep_log_source",
    "prep_map_diagnosis_to_icd",
    "prep_map_icd_to_syndrome",
    "prep_missingness_report",
    "prep_parse_date_column",
    "prep_pivot_ast_wide_to_long",
    "prep_recode_intermediate_ast",
    "prep_reconcile_hai_observed_inferred",
    "prep_report_capabilities",
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    "prep_standardize_antibiotics",
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    "prep_standardize_outcome",
    "prep_standardize_sex",
    "prep_standardize_specimens",
    "prep_validate_analysis_ready",
    "prep_validate_date_logic",
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    "select_resistance_class",
    "shorten_drug_class",
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    "simulate_probit_posterior_predictive",
    "simulate_probit_prior_predictive",
    "summarise_distribution",
    "summarize_column_mapping",
    "summarize_data_quality",
    "summarize_fit_correlation_matrix",
    "summarize_raw_data",
    "summarize_transformations",
    "validate_aggregate_inputs",
    "validate_complete_profile_calibration",
    "validate_compute_backend",
    "validate_config",
    "validate_data_quality",
    "validate_marginal_calibration",
    "validate_pairwise_calibration",
    "validate_profile_inputs",
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    {
      "page": "aggregate_profiles_for_daly",
      "title": "Aggregate Posterior Profile Draws into R_ALL / R_KNOWN_OUTCOME / R_NF Summaries",
      "topics": [
        "aggregate_profiles_for_daly"
      ]
    },
    {
      "page": "amr_config",
      "title": "Create AMR Preprocessing Configuration",
      "topics": [
        "amr_config"
      ]
    },
    {
      "page": "assess_gibbs_profile_stability",
      "title": "Assess Numerical Stability of Correlated Profile Completion",
      "topics": [
        "assess_gibbs_profile_stability"
      ]
    },
    {
      "page": "bootstrap_profiles_convex",
      "title": "Bootstrap Uncertainty Intervals for Resistance Profile Probabilities",
      "topics": [
        "bootstrap_profiles_convex"
      ]
    },
    {
      "page": "build_constraint_matrix",
      "title": "Build QP Constraint Matrix and Target Vector",
      "topics": [
        "build_constraint_matrix"
      ]
    },
    {
      "page": "check_profile_constraints",
      "title": "Formally Check Resistance Profile Probability Constraints",
      "topics": [
        "check_profile_constraints"
      ]
    },
    {
      "page": "class_display_label",
      "title": "Human-readable antimicrobial class label",
      "topics": [
        "class_display_label"
      ]
    },
    {
      "page": "class_pair_label",
      "title": "Human-readable class-pair label",
      "topics": [
        "class_pair_label"
      ]
    },
    {
      "page": "class_short_label",
      "title": "Short antimicrobial class label (for dense facet strips)",
      "topics": [
        "class_short_label"
      ]
    },
    {
      "page": "compare_distribution_aic",
      "title": "Compare Distribution Fits by AIC",
      "topics": [
        "compare_distribution_aic"
      ]
    },
    {
      "page": "compute_event_profile_probabilities",
      "title": "Compute Observed-Plus-Imputed Resistance Profile Probabilities",
      "topics": [
        "compute_event_profile_probabilities"
      ]
    },
    {
      "page": "compute_hospital_daly",
      "title": "Compute Hospital-Level DALY Breakdown",
      "topics": [
        "compute_hospital_daly"
      ]
    },
    {
      "page": "compute_marginal_resistance",
      "title": "Compute Marginal Resistance per Pathogen and Antibiotic Class",
      "topics": [
        "compute_marginal_resistance"
      ]
    },
    {
      "page": "compute_marginals_from_data",
      "title": "Compute Marginal Resistance Rates from Preprocessed Wide Data",
      "topics": [
        "compute_marginals_from_data"
      ]
    },
    {
      "page": "compute_pairwise_coresistance",
      "title": "Compute Pairwise Co-resistance Matrices per Pathogen",
      "topics": [
        "compute_pairwise_coresistance"
      ]
    },
    {
      "page": "compute_pairwise_from_data",
      "title": "Compute Pairwise Co-resistance Using Pearson Back-calculation",
      "topics": [
        "compute_pairwise_from_data"
      ]
    },
    {
      "page": "compute_posterior_predictive_status",
      "title": "Classify overall posterior predictive fit from a discrepancy-statistics table",
      "topics": [
        "compute_posterior_predictive_status"
      ]
    },
    {
      "page": "compute_prior_predictive_fingerprint",
      "title": "Fingerprint the prior-generative configuration of a fitted model",
      "topics": [
        "compute_prior_predictive_fingerprint"
      ]
    },
    {
      "page": "compute_prior_predictive_status",
      "title": "Classify plausibility of the prior predictive distribution",
      "topics": [
        "compute_prior_predictive_status"
      ]
    },
    {
      "page": "compute_probit_ppc_statistics",
      "title": "Compute AMR-specific posterior predictive discrepancy statistics",
      "topics": [
        "compute_probit_ppc_statistics"
      ]
    },
    {
      "page": "compute_processing_statistics",
      "title": "Compute Processing Statistics",
      "topics": [
        "compute_processing_statistics"
      ]
    },
    {
      "page": "compute_profile_validation_status",
      "title": "Summarise Validation Checks into a Profile-Validation Status",
      "topics": [
        "compute_profile_validation_status"
      ]
    },
    {
      "page": "compute_resistance_profiles",
      "title": "Compute Resistance Profile Probabilities per Pathogen",
      "topics": [
        "compute_resistance_profiles"
      ]
    },
    {
      "page": "daly_add_rr_mappings",
      "title": "Add RR Pathogen and Drug Class Mappings",
      "topics": [
        "daly_add_rr_mappings"
      ]
    },
    {
      "page": "daly_assign_rr_to_profiles",
      "title": "Assign Per-Class LOS RR to Resistance Profiles (Max Rule)",
      "topics": [
        "daly_assign_rr_to_profiles"
      ]
    },
    {
      "page": "daly_calc_case_fatality",
      "title": "Calculate case fatality ratio by syndrome and pathogen (CFR_{Lk})",
      "topics": [
        "daly_calc_case_fatality"
      ]
    },
    {
      "page": "daly_calc_cr_l",
      "title": "Calculate the CFR adjustment factor (CR_L)",
      "topics": [
        "daly_calc_cr_l"
      ]
    },
    {
      "page": "daly_calc_deaths_by_cause",
      "title": "Calculate Deaths by Underlying Cause (D_J)",
      "topics": [
        "daly_calc_deaths_by_cause"
      ]
    },
    {
      "page": "daly_calc_deaths_by_syndrome",
      "title": "Calculate Deaths by Infectious Syndrome (D_L)",
      "topics": [
        "daly_calc_deaths_by_syndrome"
      ]
    },
    {
      "page": "daly_calc_incidence_from_cfr",
      "title": "Calculate syndrome incidence from deaths, CFR, and CR_L (formula-based)",
      "topics": [
        "daly_calc_incidence_from_cfr"
      ]
    },
    {
      "page": "daly_calc_infection_fraction",
      "title": "Calculate Infection Fraction of Deaths by Cause (S_J)",
      "topics": [
        "daly_calc_infection_fraction"
      ]
    },
    {
      "page": "daly_calc_paf_los",
      "title": "Compute PAF for length of stay per resistance profile",
      "topics": [
        "daly_calc_paf_los"
      ]
    },
    {
      "page": "daly_calc_paf_mortality",
      "title": "Compute Mortality Population Attributable Fraction per Resistance Profile",
      "topics": [
        "daly_calc_paf_mortality"
      ]
    },
    {
      "page": "daly_calc_pathogen_fraction_fatal",
      "title": "Calculate fatal pathogen distribution (P_{Lk})",
      "topics": [
        "daly_calc_pathogen_fraction_fatal"
      ]
    },
    {
      "page": "daly_calc_resistance_prevalence_fatal",
      "title": "Calculate Fatal Resistance Prevalence (R_k)",
      "topics": [
        "daly_calc_resistance_prevalence_fatal"
      ]
    },
    {
      "page": "daly_calc_syndrome_fraction",
      "title": "Calculate Infectious Syndrome Fraction (M_LJ)",
      "topics": [
        "daly_calc_syndrome_fraction"
      ]
    },
    {
      "page": "daly_calc_yld_associated",
      "title": "Compute YLD Associated with Resistance (Direct, Profile-Specific)",
      "topics": [
        "daly_calc_yld_associated"
      ]
    },
    {
      "page": "daly_calc_yld_attributable",
      "title": "Compute YLD Attributable to Resistance (Direct, Profile-Specific)",
      "topics": [
        "daly_calc_yld_attributable"
      ]
    },
    {
      "page": "daly_calc_yll_associated",
      "title": "Compute YLL Associated with AMR (Patient-Level, Facility-Direct)",
      "topics": [
        "daly_calc_yll_associated"
      ]
    },
    {
      "page": "daly_calc_yll_attributable",
      "title": "Compute YLL Attributable to AMR",
      "topics": [
        "daly_calc_yll_attributable"
      ]
    },
    {
      "page": "daly_compute_patient_los",
      "title": "Compute Patient-Level Post-Infection LOS",
      "topics": [
        "daly_compute_patient_los"
      ]
    },
    {
      "page": "daly_count_incident_cases",
      "title": "Count incident cases by syndrome from facility data",
      "topics": [
        "daly_count_incident_cases"
      ]
    },
    {
      "page": "daly_derive_hai_cai_for_mortality",
      "title": "Classify HAI/CAI Infection Type for the Mortality Cohort",
      "topics": [
        "daly_derive_hai_cai_for_mortality"
      ]
    },
    {
      "page": "daly_filter_profiles_to_rr_classes",
      "title": "Filter Resistance Profiles to Classes with RR Estimates",
      "topics": [
        "daly_filter_profiles_to_rr_classes"
      ]
    },
    {
      "page": "daly_fit_los_rr",
      "title": "Fit relative LOS using Gamma GLM with log link",
      "topics": [
        "daly_fit_los_rr"
      ]
    },
    {
      "page": "daly_fit_los_rr_distribution",
      "title": "Estimate Per-Class LOS Relative Risk via Parametric Distribution Fitting",
      "topics": [
        "daly_fit_los_rr_distribution"
      ]
    },
    {
      "page": "daly_fit_mortality_rr",
      "title": "Fit mortality model and derive adjusted relative risk of death",
      "topics": [
        "daly_fit_mortality_rr"
      ]
    },
    {
      "page": "daly_get_top_pathogens",
      "title": "Identify top N pathogens by occurrence",
      "topics": [
        "daly_get_top_pathogens"
      ]
    },
    {
      "page": "daly_load_rr_reference",
      "title": "Load RR (Relative Risk) Reference Data",
      "topics": [
        "daly_load_rr_reference"
      ]
    },
    {
      "page": "default_column_mappings",
      "title": "Default column name mappings for fuzzy matching",
      "topics": [
        "default_column_mappings"
      ]
    },
    {
      "page": "detect_preprocessing_capabilities",
      "title": "Detect Preprocessing Capabilities",
      "topics": [
        "detect_preprocessing_capabilities"
      ]
    },
    {
      "page": "eda_theme",
      "title": "EDA ggplot2 Theme",
      "topics": [
        "eda_theme"
      ]
    },
    {
      "page": "enumerate_binary_profiles",
      "title": "Enumerate All Binary Resistance Profiles for a Set of Antibiotic Classes",
      "topics": [
        "enumerate_binary_profiles"
      ]
    },
    {
      "page": "estimate_profiles_convex",
      "title": "Estimate Resistance Profile Probabilities via Convex Optimisation",
      "topics": [
        "estimate_profiles_convex"
      ]
    },
    {
      "page": "estimate_resistance_profiles",
      "title": "Estimate Resistance Profiles: Pathway 1 (Convex) or Pathway 2 (Bayesian)",
      "topics": [
        "estimate_resistance_profiles"
      ]
    },
    {
      "page": "export_report",
      "title": "Export Report to File",
      "topics": [
        "export_report"
      ]
    },
    {
      "page": "fit_bayesian_multivariate_probit",
      "title": "Fit Bayesian Hierarchical Multivariate Probit Model for Resistance Profiles",
      "topics": [
        "fit_bayesian_multivariate_probit"
      ]
    },
    {
      "page": "fit_distributions",
      "title": "Fit Multiple Distributions",
      "topics": [
        "fit_distributions"
      ]
    },
    {
      "page": "generate_preprocessing_report",
      "title": "Generate Preprocessing Report",
      "topics": [
        "generate_preprocessing_report"
      ]
    },
    {
      "page": "get_age_bins",
      "title": "Get Age Bin Labels",
      "topics": [
        "get_age_bins"
      ]
    },
    {
      "page": "get_los_by_resistance",
      "title": "Extract LOS Vectors by Resistance Status",
      "topics": [
        "get_los_by_resistance"
      ]
    },
    {
      "page": "hospital_display_label",
      "title": "Human-readable hospital/site display label",
      "topics": [
        "hospital_display_label"
      ]
    },
    {
      "page": "infer_patient_syndrome_wide",
      "title": "Assign Syndrome from Wide-Format Syndrome Flags",
      "topics": [
        "infer_patient_syndrome_wide"
      ]
    },
    {
      "page": "mask_and_validate_ast",
      "title": "Masked-AST Holdout Validation",
      "topics": [
        "mask_and_validate_ast"
      ]
    },
    {
      "page": "plot_abx_complex_heatmap",
      "title": "Plot Antibiotic Resistance ComplexHeatmap",
      "topics": [
        "plot_abx_complex_heatmap"
      ]
    },
    {
      "page": "plot_abx_heatmap",
      "title": "Plot Antibiotic Resistance Heatmap",
      "topics": [
        "plot_abx_heatmap"
      ]
    },
    {
      "page": "plot_abx_susceptibility",
      "title": "Plot Antibiotic Susceptibility Pattern (Stacked R/S Bars)",
      "topics": [
        "plot_abx_susceptibility"
      ]
    },
    {
      "page": "plot_age_ridge",
      "title": "Ridge / Density Plot of Patient Age",
      "topics": [
        "plot_age_ridge"
      ]
    },
    {
      "page": "plot_burden_by_hospital",
      "title": "Plot YLL or YLD Associated vs Attributable per Hospital",
      "topics": [
        "plot_burden_by_hospital"
      ]
    },
    {
      "page": "plot_burden_by_organism",
      "title": "Plot YLL or YLD Associated vs Attributable by Organism",
      "topics": [
        "plot_burden_by_organism"
      ]
    },
    {
      "page": "plot_death_discharged",
      "title": "Plot Death vs Discharged Counts for Top Pathogens",
      "topics": [
        "plot_death_discharged"
      ]
    },
    {
      "page": "plot_hai_cai_by_facility",
      "title": "Plot HAI vs CAI Infection Distribution by Facility",
      "topics": [
        "plot_hai_cai_by_facility"
      ]
    },
    {
      "page": "plot_infection_type_by_location",
      "title": "Plot Infection Type (HAI/CAI) by Location (ICU/Ward), Faceted by Hospital",
      "topics": [
        "plot_infection_type_by_location"
      ]
    },
    {
      "page": "plot_location_by_facility",
      "title": "Plot Patient Distribution by Location Type Across Facilities",
      "topics": [
        "plot_location_by_facility"
      ]
    },
    {
      "page": "plot_los_by_agebin",
      "title": "Boxplot of Length of Stay by Age Group",
      "topics": [
        "plot_los_by_agebin"
      ]
    },
    {
      "page": "plot_los_distributions",
      "title": "Plot LOS Distribution with Fitted Overlays",
      "topics": [
        "plot_los_distributions"
      ]
    },
    {
      "page": "plot_los_ridge",
      "title": "Ridge / Density Plot of Length of Stay (LOS)",
      "topics": [
        "plot_los_ridge"
      ]
    },
    {
      "page": "plot_mono_poly_by_facility",
      "title": "Plot Mono vs Polymicrobial Infections by Facility",
      "topics": [
        "plot_mono_poly_by_facility"
      ]
    },
    {
      "page": "plot_omega_convergence_heatmap",
      "title": "Sampling-diagnostic (Rhat) heatmap for Omega",
      "topics": [
        "plot_omega_convergence_heatmap"
      ]
    },
    {
      "page": "plot_omega_correlation_heatmap",
      "title": "Posterior-median latent cross-class correlation heatmap (Omega)",
      "topics": [
        "plot_omega_correlation_heatmap"
      ]
    },
    {
      "page": "plot_omega_degeneracy_diagnostic",
      "title": "Near-degeneracy diagnostic for the posterior Omega correlation matrix",
      "topics": [
        "plot_omega_degeneracy_diagnostic"
      ]
    },
    {
      "page": "plot_omega_summary_table",
      "title": "Full per-pair Omega summary table (rho, 95% CrI, Rhat, ESS bulk/tail)",
      "topics": [
        "plot_omega_summary_table"
      ]
    },
    {
      "page": "plot_outcome_by_agebin",
      "title": "Plot Final Outcome Proportions by Age Bin",
      "topics": [
        "plot_outcome_by_agebin"
      ]
    },
    {
      "page": "plot_outcome_by_organism",
      "title": "Plot Final Outcome Proportions for Resistant or Susceptible Patients",
      "topics": [
        "plot_outcome_by_organism"
      ]
    },
    {
      "page": "plot_outcome_by_year",
      "title": "Plot Distribution of Final Outcomes by Year",
      "topics": [
        "plot_outcome_by_year"
      ]
    },
    {
      "page": "plot_outcome_distribution",
      "title": "Plot Distribution of Final Outcomes",
      "topics": [
        "plot_outcome_distribution"
      ]
    },
    {
      "page": "plot_patients_by_hospital",
      "title": "Plot Unique Patient Count by Hospital",
      "topics": [
        "plot_patients_by_hospital"
      ]
    },
    {
      "page": "plot_probit_beta_family_diagnostics",
      "title": "Fixed-effect convergence broken out by source of variation",
      "topics": [
        "plot_probit_beta_family_diagnostics"
      ]
    },
    {
      "page": "plot_probit_diagnostics",
      "title": "Generate diagnostic plots for a fitted Bayesian multivariate probit model",
      "topics": [
        "plot_probit_diagnostics"
      ]
    },
    {
      "page": "plot_probit_fixed_effect_diagnostics",
      "title": "Fixed-effect coefficient diagnostics, split by contrast type and faceted by antimicrobial class",
      "topics": [
        "plot_probit_fixed_effect_diagnostics"
      ]
    },
    {
      "page": "plot_probit_posterior_predictive_checks",
      "title": "Plot posterior predictive checks for a fitted probit model",
      "topics": [
        "plot_probit_posterior_predictive_checks"
      ]
    },
    {
      "page": "plot_probit_worst_offender_diagnostics",
      "title": "Trace and rank plots for the worst-converging structural parameters",
      "topics": [
        "plot_probit_worst_offender_diagnostics"
      ]
    },
    {
      "page": "plot_probit_worst_parameters",
      "title": "Human-readable worst-converging structural parameters",
      "topics": [
        "plot_probit_worst_parameters"
      ]
    },
    {
      "page": "plot_resistance_by_agebin",
      "title": "Resistance proportion by age group",
      "topics": [
        "plot_resistance_by_agebin"
      ]
    },
    {
      "page": "plot_resistance_by_organism",
      "title": "Resistance proportion for top N organisms",
      "topics": [
        "plot_resistance_by_organism"
      ]
    },
    {
      "page": "plot_resistance_by_sample",
      "title": "Plot Distribution of Antibiotic Resistance Across Sample Types",
      "topics": [
        "plot_resistance_by_sample"
      ]
    },
    {
      "page": "plot_syndrome_distribution",
      "title": "Plot Syndrome Distribution",
      "topics": [
        "plot_syndrome_distribution"
      ]
    },
    {
      "page": "plot_top_organisms",
      "title": "Plot Top Pathogens by Unique Patients",
      "topics": [
        "plot_top_organisms"
      ]
    },
    {
      "page": "plot_yld_heatmap",
      "title": "Heatmap of YLD per 1 000 Admissions by Organism Group",
      "topics": [
        "plot_yld_heatmap"
      ]
    },
    {
      "page": "plot_yll_heatmap",
      "title": "Heatmap of YLL per 1 000 Admissions by Resistance Class and Pathogen Group",
      "topics": [
        "plot_yll_heatmap"
      ]
    },
    {
      "page": "prep_apply_column_map",
      "title": "Apply Column Map to Rename Columns",
      "topics": [
        "prep_apply_column_map"
      ]
    },
    {
      "page": "prep_assert_standard_names",
      "title": "Assert Standard Names Are Present",
      "topics": [
        "prep_assert_standard_names"
      ]
    },
    {
      "page": "prep_assign_age_bins",
      "title": "Assign Age Bins",
      "topics": [
        "prep_assign_age_bins"
      ]
    },
    {
      "page": "prep_assign_facility_type",
      "title": "Assign a facility type / sector column from a user-supplied mapping",
      "topics": [
        "prep_assign_facility_type"
      ]
    },
    {
      "page": "prep_assign_organism_group",
      "title": "Assign Organism Group",
      "topics": [
        "prep_assign_organism_group"
      ]
    },
    {
      "page": "prep_assign_patient_syndrome",
      "title": "Assign One Syndrome Per Patient or Event",
      "topics": [
        "prep_assign_patient_syndrome"
      ]
    },
    {
      "page": "prep_attrition_flow",
      "title": "Track Attrition Through the Pipeline",
      "topics": [
        "prep_attrition_flow"
      ]
    },
    {
      "page": "prep_build_column_map",
      "title": "Build and Validate a Column Map Against a Dataset",
      "topics": [
        "prep_build_column_map"
      ]
    },
    {
      "page": "prep_build_fatal_cohort",
      "title": "Build Fatal Cohort",
      "topics": [
        "prep_build_fatal_cohort"
      ]
    },
    {
      "page": "prep_build_nonfatal_cohort",
      "title": "Build Non-Fatal Cohort",
      "topics": [
        "prep_build_nonfatal_cohort"
      ]
    },
    {
      "page": "prep_check_columns",
      "title": "Check required columns exist and report types",
      "topics": [
        "prep_check_columns"
      ]
    },
    {
      "page": "prep_check_keys",
      "title": "Check join key quality",
      "topics": [
        "prep_check_keys"
      ]
    },
    {
      "page": "prep_check_organism_ast_consistency",
      "title": "Check Organism-AST Consistency",
      "topics": [
        "prep_check_organism_ast_consistency"
      ]
    },
    {
      "page": "prep_classify_antibiotic_class",
      "title": "Classify Antibiotic to WHO Class",
      "topics": [
        "prep_classify_antibiotic_class"
      ]
    },
    {
      "page": "prep_classify_aware",
      "title": "Classify AWaRe Category",
      "topics": [
        "prep_classify_aware"
      ]
    },
    {
      "page": "prep_classify_mdr_xdr",
      "title": "Classify MDR and XDR",
      "topics": [
        "prep_classify_mdr_xdr"
      ]
    },
    {
      "page": "prep_classify_mortality",
      "title": "Classify Infection-Related Mortality",
      "topics": [
        "prep_classify_mortality"
      ]
    },
    {
      "page": "prep_classify_readmission",
      "title": "Classify Readmission Type",
      "topics": [
        "prep_classify_readmission"
      ]
    },
    {
      "page": "prep_clean_ast_values",
      "title": "Clean Antibiotic Susceptibility Values",
      "topics": [
        "prep_clean_ast_values"
      ]
    },
    {
      "page": "prep_clean_optional_columns",
      "title": "Clean Optional Columns",
      "topics": [
        "prep_clean_optional_columns"
      ]
    },
    {
      "page": "prep_coerce_dates",
      "title": "Detect and convert all date-like columns in a table",
      "topics": [
        "prep_coerce_dates"
      ]
    },
    {
      "page": "prep_collapse_class_level",
      "title": "Collapse to Class Level",
      "topics": [
        "prep_collapse_class_level"
      ]
    },
    {
      "page": "prep_compute_poly_weights",
      "title": "Compute Polymicrobial Weights",
      "topics": [
        "compute_polymicrobial_weight",
        "prep_compute_poly_weights"
      ]
    },
    {
      "page": "prep_create_event_ids",
      "title": "Create Event IDs from Patient-Level Data",
      "topics": [
        "prep_create_event_ids"
      ]
    },
    {
      "page": "prep_create_resistance_profile",
      "title": "Create Resistance Profile",
      "topics": [
        "prep_create_resistance_profile"
      ]
    },
    {
      "page": "prep_create_wide_ast_matrix",
      "title": "Create Wide Format AST Matrix",
      "topics": [
        "prep_create_wide_ast_matrix"
      ]
    },
    {
      "page": "prep_decode_antibiotic_code",
      "title": "Decode Antibiotic Short Codes to Full Names",
      "topics": [
        "prep_decode_antibiotic_code"
      ]
    },
    {
      "page": "prep_deduplicate_ast",
      "title": "Handle Duplicate AST Results",
      "topics": [
        "prep_deduplicate_ast"
      ]
    },
    {
      "page": "prep_deduplicate_events",
      "title": "Deduplicate Events",
      "topics": [
        "prep_deduplicate_events"
      ]
    },
    {
      "page": "prep_derive_dob_from_components",
      "title": "Derive Date of Birth from Age Components",
      "topics": [
        "prep_derive_dob_from_components"
      ]
    },
    {
      "page": "prep_derive_hai_cai",
      "title": "Derive HAI/CAI Infection Type",
      "topics": [
        "prep_derive_hai_cai"
      ]
    },
    {
      "page": "prep_derive_icu_flag",
      "title": "Derive ICU Flag",
      "topics": [
        "prep_derive_icu_flag"
      ]
    },
    {
      "page": "prep_derive_los_from_dates",
      "title": "Derive Length of Stay from Date Columns",
      "topics": [
        "prep_derive_los_from_dates"
      ]
    },
    {
      "page": "prep_detect_schema_drift",
      "title": "Detect Schema Drift Across Centres",
      "topics": [
        "prep_detect_schema_drift"
      ]
    },
    {
      "page": "prep_diagnosis_text",
      "title": "Prepare Diagnosis Text",
      "topics": [
        "prep_diagnosis_text"
      ]
    },
    {
      "page": "prep_extract_genus",
      "title": "Extract Genus from Organism Name",
      "topics": [
        "prep_extract_genus"
      ]
    },
    {
      "page": "prep_extract_species",
      "title": "Extract Species from Organism Name",
      "topics": [
        "prep_extract_species"
      ]
    },
    {
      "page": "prep_fill_age",
      "title": "Fill Missing Age Values",
      "topics": [
        "prep_fill_age"
      ]
    },
    {
      "page": "prep_filter_analysis_ready",
      "title": "Filter Analysis-Ready Records",
      "topics": [
        "prep_filter_analysis_ready"
      ]
    },
    {
      "page": "prep_filter_fungal",
      "title": "Filter Fungal Organisms",
      "topics": [
        "prep_filter_fungal"
      ]
    },
    {
      "page": "prep_filter_minimally_usable",
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      "title": "Compute each event's total random-effect contribution from a flattened re_effect[D, total_re_levels] matrix (as emitted by the generic Stan models' generated re_effect, or reconstructed R-side from posterior draws of z_re/tau_re/L_corr_re). This is the SINGLE generic helper every downstream mu-reconstruction site should call instead of hand-summing hospital_effect/patient_effect/admission_effect.",
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