base parameter of the tree prior, $\alpha \in [0,1)$.
beta
power parameter of the tree prior, $beta \geq 0$.
n_obs
number of unique observations, $n_{obs}>1$.
n_iter
number of trees to generate, $n_{iter}>0$.
Value
Returns a list containing, in the following order: the mean number of bottom nodes, the standard deviation of the number of bottom nodes, the mean of the depth, the standard deviation of the depth and a data.frame of vectors $(b_i,d_i)$, where $b_i$ is the number of bottom nodes and $d_i$ is the depth of the $i$th generated tree ($i=1, \ldots ,n_{iter}$).