isothermal_OED_limit: OED of isothermal microbial inactivation with detection limit

In jlpesoto/prueba: Sensitivity Analysis and Optimum Experiment Design for Microbial Inactivation

Description

OED of isothermal microbial inactivation with detection limit

Usage

isothermal_OED_limit(model, pars, limit, n_points, min_time, max_time,
  min_temp, max_temp, criterium, opts = NULL)

Arguments

model	character string defining the inactivation model to use.
pars	list defining the nominal model parameters.
limit	numerical value describing the maximum number of log-reductions that can be identified in the experiment limit = logDL - logN0, where DL is the detection limit.
n_points	numerical stating the number of data points.
min_time	numerical stating the lower limit for the time points.
max_time	numerical stating the upper limit for the time points.
min_temp	numerical stating the lower limit for the temperature.
max_temp	numerical stating the upper limit for the temperature.
criterium	character string defining the criterium to use.
opts	options for the MEIGO algorithm. By default, a maximum of 2000 function evaluations with local finish with the DHC algorithm (see help from MEIGO).

Value

A MEIGO object

Examples

pars <- list(temp_crit = 55,
n = 1.5,
k_b = 0.1)
OED <- isothermal_OED_limit("Peleg", pars, limit=7,
                            n_points=10, min_time=0, max_time=100, min_temp=52, max_temp=60, criterium="D",
                            opts = NULL)
OED$optim$xbest

jlpesoto/prueba documentation built on Nov. 4, 2019, 2:59 p.m.