glance.surv             One-row summary of survinger model
plot.surv               Plot methods for survinger objects
print.surv_adjusted     Combined design-weighted and delay-adjusted
                        prevalence
print.surv_allocation   Optimize sequencing allocation across strata
print.surv_delay_fit    Estimate reporting delay distribution
print.surv_design       Create a genomic surveillance design object
print.surv_nowcast      Nowcast lineage counts correcting for reporting
                        delays
print.surv_prevalence   Estimate lineage prevalence with design weights
sarscov2_surveillance   Example SARS-CoV-2 genomic surveillance data
surv_bind               Combine multiple prevalence estimates
surv_compare_allocations
                        Compare multiple allocation strategies
surv_compare_estimates
                        Compare weighted vs naive prevalence estimates
surv_design_effect      Compute design effect over time
surv_detection_probability
                        Variant detection probability under current
                        design
surv_estimate           Pipe-friendly surveillance analysis
surv_filter             Subset a surveillance design by filter criteria
surv_naive_prevalence   Compute naive (unweighted) lineage prevalence
surv_plot_allocation    Plot allocation plan
surv_plot_sequencing_rates
                        Plot sequencing rate inequality across strata
surv_power_curve        Compute power curve for detection across
                        prevalence range
surv_prevalence_by      Estimate prevalence by subgroup
surv_quality            Compute surveillance quality metrics
surv_report             Generate a comprehensive surveillance system
                        report
surv_reporting_probability
                        Compute cumulative reporting probability
surv_required_sequences
                        Required sequences for target detection
                        probability
surv_sensitivity        Sensitivity analysis across methods
surv_set_weights        Override design weights with custom values
surv_simulate           Simulate genomic surveillance data
surv_table              Format prevalence results for knitr tables
surv_update_rates       Update sequencing rates in a surveillance
                        design
theme_survinger         Publication-quality ggplot2 theme
tidy.surv               Extract tidy estimates from survinger objects
