create_ctree function

Build all the conditional inference trees

create_ctree(
  given_ind,
  x_train,
  mincriterion,
  minsplit,
  minbucket,
  use_partykit = "on_error"
)

Arguments

• given_ind: Integer vector. Indicates which features are conditioned on.

• x_train: Data.table with training data.

• use_partykit: String. In some semi-rare cases partykit::ctree() runs into an error related to the LINPACK used by R. To get around this problem, one may fall back to using the newer (but slower) partykit::ctree()

  function, which is a reimplementation of the same method. Setting this parameter to "on_error" (default) falls back to partykit::ctree(), if party::ctree() fails. Other options are "never", which always uses party::ctree(), and "always", which always uses partykit::ctree(). A warning message is created whenever partykit::ctree() is used.

Returns

List with conditional inference tree and the variables conditioned/not conditioned on.

Details

See the documentation of the setup_approach.ctree() function for undocumented parameters.

Author(s)

Annabelle Redelmeier, Martin Jullum