Bayesian Tree Prior Simulation

Documentation for package ‘BayesTreePrior’ version 1.0.1

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).