sim.Stasis: Simulate Stasis time-series for trait evolution
| sim.Stasis | R Documentation |
Simulate Stasis time-series for trait evolution
Description
Simulate Stasis time-series for trait evolution
Usage
sim.Stasis(
ns = 20,
theta = 0,
omega = 0,
vp = 1,
nn = rep(20, ns),
tt = 0:(ns - 1)
)
Arguments
ns |
number of populations in the sequence |
theta |
mean of populations |
omega |
variance among populations |
vp |
phenotypic variance within populations |
nn |
vector of population sample sizes |
tt |
vector of population times (ages) |
Value
a paleoTS object
See Also
sim.GRW, sim.OU, as.paleoTS
Examples
x <- sim.Stasis(omega = 0.5, vp = 0.1)
w.sta <- fitSimple(x, model = "Stasis")
w.ss <- fitSimple(x, model = "StrictStasis")
compareModels(w.sta, w.ss)
