R: Bayesian Tree Prior Simulation

# Bayesian Tree Prior Simulation

## Documentation for package ‘BayesTreePrior’ version 1.0.1

- DESCRIPTION file.

## Help Pages

BayesTreePrior | Simulation of the tree prior.
BayesTreePriorNotOrthogonal | Simulation of the tree prior in the general case (Case #4).
BayesTreePriorOrthogonal | Simulation of the tree prior in the case where we have one single variable (Case #3).
BayesTreePriorOrthogonalInf | Simulation of the tree prior in the unrealistic case where we assume that the number of variables and possible splits are infinite (therefore P(T) is not dependent on the design matrix X) (Case #2).
E_alpha | Expected value of the number of bottom nodes in the unrealistic case where we assume that the number of variables and possible splits are infinite (therefore P(T) is not dependent on the design matrix X) and beta=0 (Case #1).
GetListUniqueSplits | Unique splits that leads to children with more than minpart nodes.
NumBotMaxDepth | Number of bottom nodes and depth in the case where we have one single variable (Case #3).
NumBotMaxDepthX | Number of bottom nodes and depth in the general case (Case #4).
NumBotMaxDepth_inf | Number of bottom nodes and depth in the unrealistic case where we assume that the number of variables and possible splits are infinite (therefore P(T) is not dependent on the design matrix X) (Case #2).
p_split | Probability of split of the tree prior.
Var_alpha | Variance of the number of bottom nodes in the unrealistic case where we assume that the number of variables and possible splits are infinite (therefore P(T) is not dependent on the design matrix X) and beta=0 (Case #1).