generalisedLogistic: Generalised Logistic growth model

Description Usage Arguments Author(s) References Examples

Description

Computes the Generalised Logistic growth model

y(t) = A + (U - A)/(1 + β * exp(-k * (t- t_0)))

Usage

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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

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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)

drodriguezperez/growthmodels documentation built on May 15, 2019, 2:42 p.m.