Log-logistic growth model
Computes the Log-logistic growth model
y(t) = α/(1 + β * exp(-k * log(t))
loglogistic(t, alpha, beta, k) loglogistic.inverse(x, alpha, beta, k)
t |
time |
x |
size |
alpha |
upper asymptote |
beta |
growth range |
k |
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 <- loglogistic(0:10, 10, 0.5, 0.3) # Calculate inverse function time <- loglogistic.inverse(growth, 10, 0.5, 0.3)
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