cost_coupled_onestep

Residuals of the coupled Baranyi model

Modelling of population growth under static and dynamic environmental conditions.
Includes functions for model fitting and making prediction under isothermal and
dynamic conditions. The methods (algorithms & models) are based on
predictive microbiology (See Perez-Rodriguez and Valero (2012, ISBN:978-1-4614-5519-6)).

Alberto Garre

biogrowth

Modelling of Population Growth

Jeroen Koomen

Heidy den Besten

Marcel Zwietering

cost_coupled_onestep function

<dl><dt>p</dt>
<dd>a numeric vector of model parameters. Must have entries <code>logN0</code>, <code>logNmax</code>, <code>logC0</code>, <code>b</code> and <code>Tmin</code></dd>
<dt>this_data</dt>
<dd>a tibble (or data.frame) with three columns: <code>logN</code> (microbial concentration; in logCFU/TIME),
<code>temp</code> the temperature and <code>time</code> the storage time</dd>
<dt>known</dt>
<dd>a numeric vector of known model parameters</dd></dl>

Arguments

Residuals of the coupled Baranyi model — cost_coupled_onestep

<dl>

<dt>p</dt>
<dd>a numeric vector of model parameters. Must have entries <code>logN0</code>, <code>logNmax</code>, <code>logC0</code>, <code>b</code> and <code>Tmin</code></dd>


<dt>this_data</dt>
<dd>a tibble (or data.frame) with three columns: <code>logN</code> (microbial concentration; in logCFU/TIME),
<code>temp</code> the temperature and <code>time</code> the storage time</dd>


<dt>known</dt>
<dd>a numeric vector of known model parameters</dd>

</dl>

cost_coupled_onestep: Residuals of the coupled Baranyi model

Description

Usage

Value

Arguments