BayesTreePriorOrthogonal {BayesTreePrior} | R Documentation |
Simulation of the tree prior in the case where we have one single variable (Case #3).
Description
Generate trees from the prior distribution in the case where we have one variable with a finite number of observations (Case #3).
Usage
BayesTreePriorOrthogonal(alpha, beta, n_obs, n_iter = 500)
Arguments
alpha |
base parameter of the tree prior, |
beta |
power parameter of the tree prior, |
n_obs |
number of unique observations, |
n_iter |
number of trees to generate, |
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 , where
is the number of bottom nodes and
is the depth of the
th generated tree (
).
See Also
BayesTreePriorOrthogonalInf
, BayesTreePriorNotOrthogonal
Examples
results1 = BayesTreePriorOrthogonal(.95,.5, 100)
results2 = BayesTreePriorOrthogonal(.95,.5, 250)
[Package BayesTreePrior version 1.0.1 Index]