
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