dLogisticExponentialGrowth function

Logistic-Exponential Growth Model

Density and random generation of a logistic-exponential growth model distribution.

dLogisticExponentialGrowth(x, a, b, r1, r2, k, mu, log)

rLogisticExponentialGrowth(n, a, b, r1, r2, k, mu)

Arguments

• x: vector of calendar years (in BP).
• a: lower (earliest) limit of the distribution (in BP).
• b: upper (latest) limit of the distribution (in BP).
• r1: growth rate of the logistic phase.
• r2: growth rate of exponential phase.
• k: initial proportion of the carrying capacity (must be between 0 and 1).
• mu: change point (in BP).
• log: TRUE or 1 to return log probability. FALSE or 0 to return probability.
• n: number of random draws. Currently only n = 1 is supported, but the argument exists for standardization of "r" functions.

Returns

For dLogisticExponentialGrowth: the probability (or likelihood) or log probability of an observed date x (in Cal BP). For rLogisticExponentialGrowth a simulated date in Cal BP.

Examples

p = list(r1=0.01,r2=-0.001,k=0.001,mu=4500)
modelPlot(model = dLogisticExponentialGrowth,a=6000,b=4000,params=p,alpha = 1)

Author(s)

Robert DiNapoli & Enrico Crema