loglogistic: Log-logistic growth model

Description Usage Arguments Author(s) References Examples

Description

Computes the Log-logistic growth model

y(t) = α/(1 + β * exp(-k * log(t))

Usage

1
2
3
loglogistic(t, alpha, beta, k)

loglogistic.inverse(x, alpha, beta, k)

Arguments

t

time

alpha

upper asymptote

beta

growth range

k

growth rate

x

size

Author(s)

Daniel Rodriguez

References

A. Khamiz, Z. Ismail, and A. T. Muhammad, "Nonlinear growth models for modeling oil palm yield growth," Journal of Mathematics and Statistics, vol. 1, no. 3, p. 225, 2005.

Examples

1
2
3
4
growth <- loglogistic(0:10, 10, 0.5, 0.3)

# Calculate inverse function
time <- loglogistic.inverse(growth, 10, 0.5, 0.3)

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