dExponentialLogisticGrowth: Exponential-Logistic Growth Model

In nimbleCarbon: Bayesian Analyses of Radiocarbon Dates with NIMBLE

Exponential-Logistic Growth Model

Description

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

Usage

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

rExponentialLogisticGrowth(n, a, b, k, r1, r2, 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).
k	initial proportion of the carrying capacity (must be between 0 and 1).
r1	growth rate of the exponential phase.
r2	growth rate of logistic phase.
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.

Value

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

Author(s)

Enrico Crema

Examples

p = list(r1=-0.001,r2=0.01,mu=5200,k=0.2)
modelPlot(model = dExponentialLogisticGrowth,a=6000,b=4000,params=p,alpha = 1)

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