calculate_pars_correlation: Correlation Between Model Parameters Sensitivities

In bioOED: Sensitivity Analysis and Optimum Experiment Design for Microbial Inactivation

Description

Correlation Between Model Parameters Sensitivities

Usage

calculate_pars_correlation(inactivation_model, parms, temp_profile,
  parms_fix, n_times = 100, sensvar = "logN")

Arguments

inactivation_model	Character defining the inactivation model to use.
parms	Numeric vector with the nominal values of the model parameters.
temp_profile	Data frame describing the environmental conditions.
parms_fix	Nominal value of the parameters not considered for the sensitivity.
n_times	Numeric value specifying the nombers of time points where the sensitivity functions will be calculated. 100 by default.
sensvar	The output variable for which the sensitivity will be estimated. "logN" by default.

Examples

parms_fix <- c(temp_ref = 57.5)
parms <- c(delta_ref = 3.9, z = 4.2, p = 1, N0 = 1e6)
temp_profile <- data.frame(time = c(0, 60), temperature = c(30, 60))
correlations <- calculate_pars_correlation("Mafart", parms,
                                            temp_profile, parms_fix)
plot(correlations)

bioOED documentation built on Aug. 7, 2019, 5:03 p.m.