initialize_veb_boost_tree: Initialize VEB-Boost Tree structure
In andrewg3311/VEB.Boost: What the Package Does (One Line, Title Case)

View source: R/initialize_veb_boost_tree.R

Initializes a VEB-Boost tree object as the sum of products of nodes, where you can specify how many learners to add, and the multiplicative depth of each learner.

initialize_veb_boost_tree(
  Xs,
  Y,
  k = 1,
  d = 1,
  fitFunctions = list(fitFnSusieStumps),
  predFunctions = list(predFnSusieStumps),
  constCheckFunctions = list(constCheckFnSusieStumps),
  family = c("gaussian", "binomial")
)

`Xs`	is a list of the prediction objects to be used (usually of length 1, i.e. all nodes use the same prediction object). Otherwise, it must be of length k (i.e. each term in the addition uses its own predictor object)
`Y`	is a numeric vector response
`k`	is an intetger for how many terms are in the sum of nodes
`d`	is either an integer, or an integer vector of length 'k' for the multiplicative depth of each of the k terms
`fitFunctions`	is a list of length 1 or 'k' of fitting functions to be used in each term on the sum of nodes
`predFunctions`	is a list of length 1 or 'k' of prediction functions to be used in each term of the sum of nodes
`constCheckFunctions`	is a list of length 1 or 'k' of constant check functions to be used in each term of the sum of nodes
`family`	is what family the response is