Description Usage Arguments Author(s) References Examples
Computes the Log-logistic growth model
y(t) = α/(1 + β * exp(-k * log(t))
1 2 3 | loglogistic(t, alpha, beta, k)
loglogistic.inverse(x, alpha, beta, k)
|
t |
time |
alpha |
upper asymptote |
beta |
growth range |
k |
growth rate |
x |
size |
Daniel Rodriguez
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.
1 2 3 4 | growth <- loglogistic(0:10, 10, 0.5, 0.3)
# Calculate inverse function
time <- loglogistic.inverse(growth, 10, 0.5, 0.3)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.