generalisedLogistic: Generalised Logistic growth model

In growthmodels: Nonlinear Growth Models

Generalised Logistic growth model

Description

Computes the Generalised Logistic growth model

y(t) = A + \frac{U - A}{1 + \beta exp(-k (t- t_0))}

Usage

generalisedLogistic(t, A, U, k, beta, t0)

generalisedLogistic.inverse(x, A, U, k, beta, t0 = 0)

Arguments

t	time
A	the lower asymptote
U	the upper asymptote
k	growth range
beta	growth range
t0	time shift (default 0)
x	size

Author(s)

Daniel Rodriguez

References

http://en.wikipedia.org/wiki/Generalised_logistic_function

Examples

growth <- generalisedLogistic(0:10, 5, 10, 0.3, 0.5, 3)

# Calculate inverse function
time <- generalisedLogistic.inverse(growth, 5, 10, 0.3, 0.5, 3)

growthmodels documentation built on May 31, 2023, 8:14 p.m.