sample_copula: Sample conditional variables using the Gaussian copula...
In shapr: Prediction Explanation with Dependence-Aware Shapley Values

sample_copula

R Documentation

Sample conditional variables using the Gaussian copula approach

Sample conditional variables using the Gaussian copula approach

sample_copula(
  index_given,
  n_samples,
  mu,
  cov_mat,
  m,
  x_test_gaussian,
  x_train,
  x_test
)

`index_given`	Integer vector. The indices of the features to condition upon. Note that `min(index_given) >= 1` and `max(index_given) <= m`.
`m`	Positive integer. The total number of features.
`x_test_gaussian`	Numeric matrix. Contains the observation whose predictions ought to be explained (test data), after quantile-transforming them to standard Gaussian variables.
`x_test`	Numeric matrix. Contains the features of the observation whose predictions ought to be explained (test data).