R/RcppExports.R

In inlabru: Bayesian Latent Gaussian Modelling using INLA and Extensions

# Generated by using Rcpp::compileAttributes() -> do not edit by hand
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393

#' @title Convert node-block indices into groups of node indices
#' @description Converts a vector of block indices into a list of
#' node index vectors.
#' @param block An integer vector of 1-based block indices, one for each node.
#' @param max_block Precomputed maximal value of `block`. Must be at least
#' as large as `max(block)`. Block indices larger than `max_block` are ignored.
#' @param per_node Logical; if `FALSE`, the function returns a list with
#' one element for each block. If `TRUE`, the function returns a list with
#' one element for each node.
#' @returns If `per_node` is `false`, a list of integer vectors, where each
#' vector contains the 1-based node indices of nodes belonging to the
#' corresponding block. If `per_node` is `true`, a list of integer vectors,
#' where each vector contains the 1-based node indices of nodes belonging to
#' the same block as the corresponding node; `b[i] <- a[block[j]]`
#' @keywords internal
inlabru_group_cv_block_conversion <- function(block, max_block, per_node) {
    .Call(`_inlabru_inlabru_group_cv_block_conversion`, block, max_block, per_node)
}