Swash-Backwash Model for the Single Epidemic Wave
Correction of Non-balanced Panel Dataset with Regional Infection Data
Fit metrics for binary logit model
Fit metrics of observed and expected binary variables
Two-country Comparison of Swash-Backwash Model Parameters
Methods for Function confint
Class "countries"
Class "expgrowth"
Exponential Growth Model for Epidemic Data
Methods for Function growth_initial
Exponential Growth Models for Regional Infections
Methods for Function growth
Logistic Growth Models for Regional Infections
Creating Histograms with Confidence Intervals
Test whether Panel Dataset with Regional Infection Data is Balanced
Class "loggrowth"
Logistic Growth Model for Epidemic Data
Fit metrics of observed and expected numeric variables
Construct Neighbourhood Matrix from Polygons
Calculate Neighbourhood Statistics from Polygons
Calculating and plotting breakpoints in time series
Plot Point Estimates With Confidence Intervals
Methods for Function plot_regions
Plots of Regional Infections Over Time
Methods for Function plot
Methods for Function print
Computing Quantiles for a given Numeric Vector
Effective Reproduction Number for Epidemic Data
Class "sbm_ci"
Class "sbm"
Methods for Function show
Methods for Function summary
Implementation of the Swash-Backwash Model for the Single Epidemic Wav...
Swash-Backwash Model for the Single Epidemic Wave
The Swash-Backwash Model for the Single Epidemic Wave was developed by Cliff and Haggett (2006) <doi:10.1007/s10109-006-0027-8> to model the velocity of spread of infectious diseases across space. This package enables the calculation of the Swash-Backwash Model for user-supplied panel data on regional infections. The package provides additional functions for bootstrap confidence intervals, country comparison, visualization of results, and data management. Furthermore, it contains several functions for analysis and visualization of (spatial) infection data.