Description Usage Arguments Author(s) References Examples
Computes the Blumberg growth model and its inverse
y(t) = (α * (t - t_0)^m)/(w_0 + (t - t_0)^m)
1 2 3 | blumberg(t, alpha, w0, m, t0 = 0)
blumberg.inverse(x, alpha, w0, m, t0 = 0)
|
t |
time |
alpha |
upper asymptote |
w0 |
a reference value at t = t0 |
m |
slope of growth |
t0 |
time shift (default 0) |
x |
size |
Daniel Rodriguez
A. Tsoularis and J. Wallace, "Analysis of logistic growth models.," Math Biosci, vol. 179, no. 1, pp. 21-55, Jul. 2002.
1 2 3 4 | growth <- blumberg(0:10, 10, 2, 0.5)
# Calculate inverse function
time <- blumberg.inverse(growth, 12, 2, 0.5)
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