Generate data used for predictions and Monte Carlo integration

Source: R/approach.R, R/approach_categorical.R, R/approach_copula.R, and 5 more

Generate data used for predictions and Monte Carlo integration

prepare_data(internal, index_features = NULL, ...)

# S3 method for categorical
prepare_data(internal, index_features = NULL, ...)

# S3 method for copula
prepare_data(internal, index_features = NULL, ...)

# S3 method for ctree
prepare_data(internal, index_features = NULL, ...)

# S3 method for empirical
prepare_data(internal, index_features = NULL, ...)

# S3 method for gaussian
prepare_data(internal, index_features = NULL, ...)

# S3 method for independence
prepare_data(internal, index_features = NULL, ...)

# S3 method for timeseries
prepare_data(internal, index_features = NULL, ...)

Arguments

internal

Not used.

index_features

Positive integer vector. Specifies the indices of combinations to apply to the present method. NULL means all combinations. Only used internally.

...

Currently not used.

Value

A data.table containing simulated data used to estimate the contribution function by Monte Carlo integration.