bilinear_stationary

Bilinear model with stationary phase

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

bilinear_stationary function

<dl><dt>times</dt>
<dd>Numeric vector of storage times</dd>
<dt>logN0</dt>
<dd>Initial log microbial count</dd>
<dt>mu</dt>
<dd>Maximum specific growth rate (in ln CFU/<a href="/link/t?package=biogrowth&version=1.0.6" data-mini-rdoc="biogrowth::t">t</a>)</dd>
<dt>logNmax</dt>
<dd>Maximum log microbial count</dd></dl>

Arguments

Bilinear model with stationary phase — bilinear_stationary

<dl>

<dt>times</dt>
<dd>Numeric vector of storage times</dd>


<dt>logN0</dt>
<dd>Initial log microbial count</dd>


<dt>mu</dt>
<dd>Maximum specific growth rate (in ln CFU/<a href='https://rdrr.io/r/base/t.html'>t</a>)</dd>


<dt>logNmax</dt>
<dd>Maximum log microbial count</dd>

</dl>

bilinear_stationary: Bilinear model with stationary phase

Description

Usage

Arguments