multiple_counts

This dataset is paired with multiple_conditions to illustrate the global
fitting of <code>fit_growth()</code>.

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

multiple_counts function

A nested list with two elements, each one corresponding to one experiment.
Each element is a data.frame with two columns:<ul>
<li>time: elapsed time</li>
<li>logN: log10 of the microbial concentration</li>
</ul>

Format

Population growth observed in several dynamic experiments — multiple_counts

Population growth observed in several dynamic experiments

multiple_counts: Population growth observed in several dynamic experiments

Description

Usage

Arguments

Format