Generalised Richard growth model
Computes the Generalised Richard growth model and its inverse
y(t) = A + (U - A)/(1 + β * exp(-k * (t - t_0)))^{(1/m)}
generalisedRichard(t, A, U, k, m, beta, t0) generalisedRichard.inverse(x, A, U, k, m, beta, t0 = 0)
t |
time |
x |
size |
A |
the lower asymptote |
U |
the upper asymptote |
k |
growth range |
m |
slope of growth |
beta |
growth range |
t0 |
time shift (default 0) |
http://en.wikipedia.org/wiki/Generalised_logistic_function
growth <- generalisedRichard(0:10, 5, 10, 0.3, 0.5, 1, 3) time <- generalisedRichard.inverse(growth, 5, 10, 0.3, 0.5, 1, 3)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.