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swash (version 1.1.0)

Swash-Backwash Model for the Single Epidemic Wave

Description

The Swash-Backwash Model for the Single Epidemic Wave was developed by Cliff and Haggett (2006) 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 also provides additional functions for bootstrap confidence intervals, country comparison, visualization of results, and data management.

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Version

Install

install.packages('swash')

Monthly Downloads

237

Version

1.1.0

License

GPL (>= 2)

Maintainer

Thomas Wieland

Last Published

February 24th, 2025

Functions in swash (1.1.0)

print-methods

Methods for Function print
sbm-class

Class "sbm"
plot_regions

Plots of Regional Infections Over Time
sbm_ci-class

Class "sbm_ci"
hist_ci

Creating Histograms with Confidence Intervals
as_balanced

Correction of Non-balanced Panel Dataset with Regional Infection Data
is_balanced

Test whether Panel Dataset with Regional Infection Data is Balanced
plot-methods

Methods for Function plot
plot_regions-methods

Methods for Function plot_regions
compare_countries

Two-country Comparison of Swash-Backwash Model Parameters
COVID19Cases_geoRegion

Switzerland Daily COVID-19 cases by region
Oesterreich_Faelle

Austria Daily COVID-19 cases by region 2020-02-26 to 2020-05-31
swash

Swash-Backwash Model for the Single Epidemic Wave
confint-methods

Methods for Function confint
countries-class

Class "countries"
show-methods

Methods for Function show
quantile_ci

Computing Quantiles for a given Numeric Vector
summary-methods

Methods for Function summary
swash-package

Implementation of the Swash-Backwash Model for the Single Epidemic Wave and additional functions in R