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