dLogisticGrowth {nimbleCarbon}

Logistic Growth Model

Description

Density and random generation of a logistic growth model distribution.

Usage

dLogisticGrowth(x, a, b, k, r, log)

rLogisticGrowth(n, a, b, k, r)

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).

k

initial proportion of the carrying capacity (must be between 0 and 1).

r

intrinsic growth rate.

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.

Value

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

Author(s)

Enrico Crema

See Also

dLogisticGrowth2 for an alternative parametrisation.

Examples

p = list(k=0.01,r=0.007)
modelPlot(model = dLogisticGrowth,a=6000,b=4000,params=p,alpha = 1)