predictMCMC_coupled

Generic for calculating predictions with uncertainty from fits

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

predictMCMC_coupled function

<dl><dt>model</dt>
<dd>An instance of FitCoupledGrowth</dd>
<dt>niter</dt>
<dd>number of MC simulations</dd>
<dt>newdata</dt>
<dd>a tibble (or data.frame) with two columns (time and temperature)
for the prediction. By default, <code>NULL</code> (the fitting conditions)</dd>
<dt>includecorr</dt>
<dd>whether to include parameter correlation (<code>TRUE</code> by default)</dd></dl>

Arguments

Generic for calculating predictions with uncertainty from fits — predictMCMC_coupled

<dl>

<dt>model</dt>
<dd>An instance of FitCoupledGrowth</dd>


<dt>niter</dt>
<dd>number of MC simulations</dd>


<dt>newdata</dt>
<dd>a tibble (or data.frame) with two columns (time and temperature)
for the prediction. By default, <code>NULL</code> (the fitting conditions)</dd>


<dt>includecorr</dt>
<dd>whether to include parameter correlation (<code>TRUE</code> by default)</dd>

</dl>

predictMCMC_coupled: Generic for calculating predictions with uncertainty from fits

Description

Usage

Arguments