grow_logistic: Logistic Growth Model

In growthrates: Estimate Growth Rates from Experimental Data

Logistic Growth Model

Description

Classical logistic growth model written as analytical solution of the differential equation.

Usage

grow_logistic(time, parms)

Arguments

time	vector of time steps (independent variable)
parms	named parameter vector of the logistic growth model with: y0 initial value of population measure mumax intrinsic growth rate (1/time) K carrying capacity (max. total concentration of cells)

Details

The equation used is:

y = (K * y0) / (y0 + (K - y0) * exp(-mumax * time))

Value

vector of dependent variable (y).

See Also

Other growth models: grow_baranyi(), grow_exponential(), grow_gompertz2(), grow_gompertz(), grow_huang(), grow_richards(), growthmodel, ode_genlogistic(), ode_twostep()

Examples

time <- seq(0, 30, length=200)
y    <- grow_logistic(time, c(y0=1, mumax=0.5, K=10))[,"y"]
plot(time, y, type="l")

growthrates documentation built on Oct. 4, 2022, 1:06 a.m.