
Package index
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calculate_bootstrap_ci() - Calculate Bootstrap Confidence Intervals for R Estimates
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calculate_r_estimates() - Calculate Reproduction Number Estimates
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calculate_si_probability_matrix() - Calculate Serial Interval Probability Matrix
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calculate_truncation_correction() - Calculate Right-Truncation Correction Factors
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conv_tri_dist() - Convolution of the triangular distribution with the mixture component density (continuous case)
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create_day_diff_matrix() - Create Day Difference Matrix
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f0() - Calculate f0 for Different Components
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f_gam() - Calculate serial interval mixture density assuming underlying gamma distribution
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f_norm() - Calculate serial interval mixture density assuming underlying normal distribution
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flower() - Calculate flower for Different Components
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fupper() - Calculate fupper for Different Components
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generate_case_bootstrap() - Generate Bootstrap Sample of Case Incidence
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generate_synthetic_epidemic() - Generate Synthetic Epidemic Data Using the Renewal Equation
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integrate_component() - Integrate Serial Interval Component Functions for Likelihood Calculation
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integrate_components_wrapper() - Compute Serial Interval Component Integrals for All Transmission Routes
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plot_si_fit() - Visualize Serial Interval Distribution Fit to Outbreak Data
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si_estim() - Estimate Serial Interval Distribution Using the Vink Method
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smooth_estimates() - Apply Moving Average Smoothing to R Estimates
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wallinga_lipsitch() - Estimate Time-Varying Case Reproduction Number Using Wallinga-Lipsitch Method
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weighted_var() - Calculate Sample Weighted Variance
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wt_loglik() - Calculate Weighted Negative Log-Likelihood for Gamma Distribution Parameters