example_env_conditions

An example dataset illustrating the requirements of the
<code>fit_dynamic_growth()</code> function.

datasets

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

example_env_conditions function

A data frame with 3 rows and 3 variables:<dl>
<dt>time</dt>
<dd>elapsed time (h)</dd><dt>temperature</dt>
<dd>storage temperature (ºC)</dd><dt>aw</dt>
<dd>water activity</dd>
</dl>

Format

Environmental conditions during a dynamic experiment — example_env_conditions

A data frame with 3 rows and 3 variables:<dl>
<dt>time</dt>
<dd>elapsed time (h)</dd>

<dt>temperature</dt>
<dd>storage temperature (ºC)</dd>

<dt>aw</dt>
<dd>water activity</dd>


</dl>

example_env_conditions: Environmental conditions during a dynamic experiment

Description

Usage

Arguments

Format