make_guess_factor

Initial guesses for the secondary model of one factor

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

make_guess_factor function

<dl><dt>fit_data</dt>
<dd>Tibble with the data used for the fit. It must have
one column with the observed growth rate (named <code>mu</code> by default; can be
changed using the "formula" argument) and as many columns
as needed with the environmental factors.</dd>
<dt>sec_model</dt>
<dd>character defining the secondary model equation according
to <code>secondary_model_data()</code></dd>
<dt>factor</dt>
<dd>character defining the environmental factor</dd></dl>

Arguments

Initial guesses for the secondary model of one factor — make_guess_factor

<dl>

<dt>fit_data</dt>
<dd>Tibble with the data used for the fit. It must have
one column with the observed growth rate (named <code>mu</code> by default; can be
changed using the "formula" argument) and as many columns
as needed with the environmental factors.</dd>


<dt>sec_model</dt>
<dd>character defining the secondary model equation according
to <code>secondary_model_data()</code></dd>


<dt>factor</dt>
<dd>character defining the environmental factor</dd>

</dl>

make_guess_factor: Initial guesses for the secondary model of one factor

Description

Usage

Arguments