Extracts the individual treatment effect (ITE) predictions from an
ensemble_hte_fit object and returns them as a plain numeric matrix.
Each column corresponds to one repetition (rep_1, rep_2, ..., rep_M).
This is a convenience function to avoid potential issues with
data.table-to-matrix coercion when working with fit$ite directly.
Arguments
- fit
An object of class
ensemble_hte_fitfromensemble_hte.
Value
A numeric matrix with n rows and M columns, where
each column contains the ITE predictions from one repetition.
Examples
if (FALSE) { # \dontrun{
fit <- ensemble_hte(Y ~ X1 + X2, treatment = D, data = data,
algorithms = c("lm", "grf"), M = 5, K = 3)
ite_mat <- ite(fit)
} # }