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 also provides additional functions for bootstrap confidence intervals, country comparison, visualization of results, and data management.

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)</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>
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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)</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