dLogisticGrowth: Logistic Growth Model

In nimbleCarbon: Bayesian Analyses of Radiocarbon Dates with NIMBLE

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)

nimbleCarbon documentation built on Aug. 14, 2023, 5:08 p.m.