dExponentialGrowth: Exponential Growth Model

In nimbleCarbon: Bayesian Analyses of Radiocarbon Dates with NIMBLE

Exponential Growth Model

Description

Density and random generation of an exponential growth model distribution.

Usage

dExponentialGrowth(x, a, b, r, log)

rExponentialGrowth(n, a, b, 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).
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 dExponentialGrowth: the probability (or likelihood) or log probability of an observed date x (in Cal BP). For rExponentialGrowth a simulated date in Cal BP.

Author(s)

Enrico Crema

Examples

p = list(r=0.002)
modelPlot(model = dExponentialGrowth,a=6000,b=4000,params=p,alpha = 1)

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