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#' @description A package for constructing optimal policy trees from
#' covariate and reward data. It provides a subset of the
#' functionality of the policytree package but constructs the
#' trees more quickly (particularly for discrete data) and thus
#' allows e.g. deeper trees to be constructed.
#'
#' @useDynLib fastpolicytree
#' @importFrom Rcpp evalCpp
#' @keywords internal
"_PACKAGE"
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