create_ctree: Make all conditional inference trees

In shapr: Prediction Explanation with Dependence-Aware Shapley Values

Make all conditional inference trees

Description

Make all conditional inference trees

Usage

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

Arguments

given_ind	Numeric value. Indicates which features are conditioned on.
x_train	Numeric vector. Indicates the specific values of features for individual i.
mincriterion	Numeric value or vector equal to 1 - alpha where alpha is the nominal level of the conditional independence tests. Can also be a vector equal to the length of the number of features indicating which mincriterion to use when conditioning on various numbers of features.
minsplit	Numeric value. Equal to the value that the sum of the left and right daughter nodes need to exceed.
minbucket	Numeric value. Equal to the minimum sum of weights in a terminal node.
use_partykit	String. In some semi-rare cases partyk::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.

Value

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

Author(s)

Annabelle Redelmeier, Martin Jullum

Examples

if (requireNamespace("MASS", quietly = TRUE) & requireNamespace("party", quietly = TRUE)) {
  m <- 10
  n <- 40
  n_samples <- 50
  mu <- rep(1, m)
  cov_mat <- cov(matrix(rnorm(n * m), n, m))
  x_train <- data.table::data.table(MASS::mvrnorm(n, mu, cov_mat))
  given_ind <- c(4, 7)
  mincriterion <- 0.95
  minsplit <- 20
  minbucket <- 7
  sample <- TRUE
  create_ctree(
    given_ind = given_ind, x_train = x_train,
    mincriterion = mincriterion, minsplit = minsplit,
    minbucket = minbucket, use_partykit = "on_error"
  )
}

shapr documentation built on May 4, 2023, 5:10 p.m.