dExponentialGrowth {nimbleCarbon}

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)