secondary_model_data

<a href="https://lifecycle.r-lib.org/articles/stages.html#stable"><img src="figures/lifecycle-stable.svg?package=biogrowth&version=1.0.6" alt="[Stable]"></a>
Provides different types of meta-data about the secondary growth models included
in biogrowth. This information is the basis of the automatic checks, and can also
help in the definition of models for <code>predict_growth()</code> and <code>fit_growth()</code>.

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

secondary_model_data function

<dl><dt>model_name</dt>
<dd>The name of the model or <code>NULL</code> (default).</dd></dl>

Arguments

<a href='https://lifecycle.r-lib.org/articles/stages.html#stable'><img src='figures/lifecycle-stable.svg' alt='[Stable]' /></a>
Provides different types of meta-data about the secondary growth models included
in biogrowth. This information is the basis of the automatic checks, and can also
help in the definition of models for <code>predict_growth()</code> and <code>fit_growth()</code>.

Metainformation of secondary growth models — secondary_model_data

<dl>

<dt>model_name</dt>
<dd>The name of the model or <code>NULL</code> (default).</dd>

</dl>

secondary_model_data: Metainformation of secondary growth models

Description

Usage

Value

Arguments