sample_dynaFit

Function to be called by <code>predict_inactivation_MCMC</code>. Produces
a random sample of the parameters adjusted from dynamic experiments with non
linear regression.

Functions for modelling microbial inactivation under
isothermal or dynamic conditions. The calculations are based on several mathematical models broadly
used by the scientific community and industry. Functions enable to make predictions for cases where the
kinetic parameters are known. It also implements functions for parameter estimation for isothermal and
dynamic conditions. The model fitting capabilities include an Adaptive Monte Carlo method for a Bayesian
approach to parameter estimation.

Alberto Garre

bioinactivation

Mathematical Modelling of (Dynamic) Microbial Inactivation

Pablo S. Fernandez

Jose A. Egea

sample_dynaFit function

<dl><dt>dynamic_fit</dt>
<dd>An object of class <code>FitInactivationMCMC</code> as generated
by <code>fit_inactivation_MCMC</code>.</dd>
<dt>times</dt>
<dd>numeric vector specifying the time points when results are
desired. If <code>NULL</code>, the times in <code>MCMC_fit$best_prediction</code>
are used.</dd>
<dt>n_simulations</dt>
<dd>a numeric indicating how many Monte Carlo simulations
to perform.</dd></dl>

Arguments

Random sample of the parameters of a FitInactivation object — sample_dynaFit

<dl>

<dt>dynamic_fit</dt>
<dd>An object of class <code>FitInactivationMCMC</code> as generated
by <code>fit_inactivation_MCMC</code>.</dd>


<dt>times</dt>
<dd>numeric vector specifying the time points when results are
desired. If <code>NULL</code>, the times in <code>MCMC_fit$best_prediction</code>
are used.</dd>


<dt>n_simulations</dt>
<dd>a numeric indicating how many Monte Carlo simulations
to perform.</dd>

</dl>

sample_dynaFit: Random sample of the parameters of a FitInactivation object

Description

Usage

Value

Arguments

Details