Description Usage Arguments Author(s) References Examples
Computes the Generalised Richard growth model and its inverse
y(t) = A + (U - A)/(1 + β * exp(-k * (t - t_0)))^{(1/m)}
1 2 3 | generalisedRichard(t, A, U, k, m, beta, t0)
generalisedRichard.inverse(x, A, U, k, m, beta, t0 = 0)
|
t |
time |
A |
the lower asymptote |
U |
the upper asymptote |
k |
growth range |
m |
slope of growth |
beta |
growth range |
t0 |
time shift (default 0) |
x |
size |
Daniel Rodriguez
http://en.wikipedia.org/wiki/Generalised_logistic_function
1 2 3 | growth <- generalisedRichard(0:10, 5, 10, 0.3, 0.5, 1, 3)
time <- generalisedRichard.inverse(growth, 5, 10, 0.3, 0.5, 1, 3)
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