y
) depends on the states for the first x
. See ratebystate
for more details.sim.ratebystate(tree, sig2x=1, sig2y=1, beta=c(0,1), ...)
x
.y
when x-min(x)==1
(for logarithm=FALSE
) or x==0
(for logarithm=TRUE
).x
and the Brownian rate in y
.method
("by.node"
or "by.branch"
indicating whether to assume the rate varies as a function of the node state or the mean branch state); plot
, a logical value indicating fastBM
, ratebystate