build_temperature_interpolator

Builds an interpolator of the temperature at each time and its first
derivative.
First derivatives are approximated using forward finite
differences (<code><a href="/link/approxfun?package=bioinactivation&version=1.3.0" data-mini-rdoc="bioinactivation::approxfun">approxfun</a></code>). It is assumed that temperature is 0
and constant outside the time interval provided.

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

build_temperature_interpolator function

<dl><dt>temperature_data</dt>
<dd>data frame with the values of the temperatures at
each value of time. It need to have 2 columns, named time and
temperature.</dd></dl>

Arguments

Builds an interpolator of the temperature at each time and its first
derivative.
First derivatives are approximated using forward finite
differences (<code><a href='https://rdrr.io/r/stats/approxfun.html'>approxfun</a></code>). It is assumed that temperature is 0
and constant outside the time interval provided.

Continuum Interpolation of Discrete Temperatures Values — build_temperature_interpolator

<dl>

<dt>temperature_data</dt>
<dd>data frame with the values of the temperatures at
each value of time. It need to have 2 columns, named time and
temperature.</dd>

</dl>

build_temperature_interpolator: Continuum Interpolation of Discrete Temperatures Values

Description

Usage

Value

Arguments

See Also