growth-methods

growth,sbm-method

Methods for function <code>growth</code>

methods

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.

Thomas Wieland

swash

Swash-Backwash Model for the Single Epidemic Wave

growth-methods function

<dl><dt><code>signature(object = "sbm", S_iterations = 10, S_start_est_method = "bisect", seq_by = 10, nls = TRUE, verbose = FALSE)</code></dt>
<dd>Estimation of \(N\) logistic growth models for \(N\) regions. Both OLS and NLS estimation are estimated by default (set <code>nls</code> = <code>FALSE</code> to skip NLS estimation). Parameters <code>S_iterations</code>, <code>S_start_est_method</code>, and <code>seq_by</code> are used to control the saturation value estimation (see <code>logistic_growth</code>).</dd>
</dl>

Methods

Author

Methods for Function growth — growth-methods

<dl>

<dt><code>signature(object = "sbm", S_iterations = 10, S_start_est_method = "bisect", seq_by = 10, nls = TRUE, verbose = FALSE)</code></dt>
<dd>Estimation of \(N\) logistic growth models for \(N\) regions. Both OLS and NLS estimation are estimated by default (set <code>nls</code> = <code>FALSE</code> to skip NLS estimation). Parameters <code>S_iterations</code>, <code>S_start_est_method</code>, and <code>seq_by</code> are used to control the saturation value estimation (see <code>logistic_growth</code>).</dd>


</dl>

growth-methods: Methods for Function `growth`

Description

Arguments

Methods

Author