sim.OUBM {evoTS}

Simulate an Ornstein-Uhlenbeck process with optimum changing according to an unbiased random walk

Description

Function to simulate an Ornstein-Uhlenbeck evolutionary sequence data set with an optimum moving according to an unbiased random walk.

Usage

sim.OUBM(
  ns = 20,
  anc = 0,
  theta.0 = 1,
  alpha = 0.3,
  vstep.trait = 0.1,
  vstep.opt = 0.1,
  vp = 1,
  nn = rep(20, ns),
  tt = 0:(ns - 1)
)

Arguments

ns

number of samples in time-series

anc

the ancestral trait values

theta.0

the ancestral value for the optimum

alpha

strength of attraction to the optimum

vstep.trait

step variance of the trait

vstep.opt

step variance of the optimum

vp

phenotypic variance of each sample

nn

vector of the number of individuals in each sample (identical sample sizes for all time-series is assumed)

tt

vector of sample times (ages

Value

An evolutionary sequence (time-series) data set (a paleoTS object)

Author(s)

Kjetil Lysne Voje

Examples

##Create data
x<-sim.OUBM(50, theta.0 = 5, alpha = 0.6, vstep.opt = 0.5)

## plot the data
plot(x)