dLogisticExponentialGrowth: Logistic-Exponential Growth Model
Description
Density and random generation of a logistic-exponential growth model distribution.
Usage
dLogisticExponentialGrowth(x, a, b, r1, r2, k, mu, log)
rLogisticExponentialGrowth(n, a, b, r1, r2, k, mu)
Value
For dLogisticExponentialGrowth: the probability (or likelihood) or log probability of an observed date x (in Cal BP). For rLogisticExponentialGrowth a simulated date in Cal BP.
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).
r1
growth rate of the logistic phase.
r2
growth rate of exponential phase.
k
initial proportion of the carrying capacity (must be between 0 and 1).
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.