laterosporus_dyna

<p>Example of experimental data of the dynamic inactivation process of
Laterosporus</p>

datasets

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

laterosporus_dyna function

<p>A data frame with 20 rows and 3 variables.</p>

laterosporus_dyna: Example Dynamic Inactivation of a Laterosporus

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