Simulate OU evolution of an embedding along a phylogeny

Uses Euler-Maruyama on each branch with step size `dt`.

Usage

simulate_ou_embedding_r(tree, z_root, theta = z_root, alpha, sigma2, dt = 0.01)

Arguments

tree

A `phylo` object.

z_root

Numeric vector, root state.

theta

Numeric vector, OU optimum. Defaults to `z_root`.

alpha

Numeric vector, selection strength per dimension.

sigma2

Numeric vector, diffusion variance per dimension.

dt

Euler-Maruyama step size as a fraction of branch length.

Value

Same structure as `simulate_bm_embedding_r`.