Morgan-Mercer-Flodin growth model
Computes the Morgan-Mercer-Flodin growth model
y(t) = (w_0 * γ + α * t^m) / (γ + t^m)
mmf(t, alpha, w0, gamma, m) mmf.inverse(x, alpha, w0, gamma, m)
t |
time |
x |
size |
alpha |
upper asymptote |
w0 |
the value at t = 0 |
gamma |
parameter that controls the point of inflection |
m |
growth rate |
A. Khamiz, Z. Ismail, and A. T. Muhammad, "Nonlinear growth models for modeling oil palm yield growth," Journal of Mathematics and Statistics, vol. 1, no. 3, p. 225, 2005.
growth <- mmf(0:10, 10, 0.5, 4, 1) # Calculate inverse function time <- mmf.inverse(growth, 10, 0.5, 4, 1)
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