baranyi_diff_without_lag: The differential form of the predictive growth model...
In Ghayabh/predictive-microbiology: bacterialgrowth Package

Description Usage Arguments Details Value Examples

View source: R/baranyi_diff_without_lag.R

The differential form of the predictive growth model developed by Baranyi & Roberts in 1994, to predict microbial growth in food environments.

1	baranyi_diff_without_lag(t, state, parameters)

`t`	time vector
`state`	initial values of y for the first time value.
`parameters`	parameter list

\begin{equation}d y=\operatorname{mu_{max}}^{*}(1-(y / y_{max} ))^{*} y\end{equation}

library (deSolve)
state<-c(y=15)
time<-seq(0,70, 1)
parameters<- c(mumax=1, ymax=10000)
out_baranyi_without_lag<-ode(y = state, times = time, func = baranyi_diff_without_lag,
 parms = parameters)
plot(time,log10(out_baranyi_without_lag[,"y"]),lty=1,col='red')