predictMCMC

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 function

<dl><dt>model</dt>
<dd>Fit object</dd>
<dt>times</dt>
<dd>see specific methods for each class</dd>
<dt>env_conditions</dt>
<dd>see specific methods for each class</dd>
<dt>niter</dt>
<dd>see specific methods for each class</dd>
<dt>newpars</dt>
<dd>see specific methods for each class</dd>
<dt>formula</dt>
<dd>A formula stating the column named defining the elapsed time in
<code>env_conditions</code>. By default, . ~ time.</dd></dl>

Arguments

Generic for calculating predictions with uncertainty from fits — predictMCMC

<dl>

<dt>model</dt>
<dd>Fit object</dd>


<dt>times</dt>
<dd>see specific methods for each class</dd>


<dt>env_conditions</dt>
<dd>see specific methods for each class</dd>


<dt>niter</dt>
<dd>see specific methods for each class</dd>


<dt>newpars</dt>
<dd>see specific methods for each class</dd>


<dt>formula</dt>
<dd>A formula stating the column named defining the elapsed time in
<code>env_conditions</code>. By default, . ~ time.</dd>

</dl>

predictMCMC: Generic for calculating predictions with uncertainty from fits

Description

Usage

Arguments