grow_richards: Growth Model According to Richards

In growthrates: Estimate Growth Rates from Experimental Data

Growth Model According to Richards

Description

Richards growth model written as analytical solution of the differential equation.

Usage

grow_richards(time, parms)

Arguments

time	vector of time steps (independent variable).
parms	named parameter vector of the Richards growth model with: y0 initial value of abundance, mumax maximum growth rate (note different interpretation compared to exponential growth), K carrying capacity (max. total concentration of cells), beta shape parameter determining the curvature.

Details

The equation used is:

y = K*(1-exp(-beta * mumax * time)*(1-(y0/K)^-beta))^(-1/beta)

The naming of parameters used here follows the convention of Tsoularis (2001), but uses mumax for growthrate and y for abundance to make them consistent to other growth functions.

Value

vector of dependent variable (y).

References

Richards, F. J. (1959) A Flexible Growth Function for Empirical Use. Journal of Experimental Botany 10 (2): 290–300.

Tsoularis, A. (2001) Analysis of Logistic Growth Models. Res. Lett. Inf. Math. Sci, (2001) 2, 23–46.

See Also

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

Examples

time <- seq(0, 30, length=200)
y    <- grow_richards(time, c(y0=1, mumax=.5, K=10, beta=2))[,"y"]
plot(time, y, type="l")
y    <- grow_richards(time, c(y0=1, mumax=.5, K=10, beta=100))[,"y"]
lines(time, y, col="red")
y    <- grow_richards(time, c(y0=1, mumax=.5, K=10, beta=.2))[,"y"]
lines(time, y, col="blue")

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