R/RcppExports.R

In StochBlock: Stochastic Blockmodeling of One-Mode and Linked Networks

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

.meanByBlocks <- function(M, clu, nClu, n, diagonal = "ignore", sBorders = "none", bordersMatLower = NULL, bordersMatUpper = NULL, bordersSeperateLower = NULL, bordersSeperateUpper = NULL, addOne = TRUE, eps = 0.001) {
    .Call(`_StochBlock_meanByBlocks`, M, clu, nClu, n, diagonal, sBorders, bordersMatLower, bordersMatUpper, bordersSeperateLower, bordersSeperateUpper, addOne, eps)
}

.kmBlock <- function(M, clu, weights, uWeights, n, nClu, diagonal = "ignore", weightClusterSize = 1.0, sBorders = "none", bordersMatLower = NULL, bordersMatUpper = NULL, bordersSeperateLower = NULL, bordersSeperateUpper = NULL, maxNoImp = 0L, addOne = TRUE, eps = 0.001) {
    .Call(`_StochBlock_kmBlock`, M, clu, weights, uWeights, n, nClu, diagonal, weightClusterSize, sBorders, bordersMatLower, bordersMatUpper, bordersSeperateLower, bordersSeperateUpper, maxNoImp, addOne, eps)
}

.critFunction <- function(M, clu, weights, uWeights, dimensions, n, weightClusterSize = 1, diagonal = "ignore", sBorders = "none", bordersMatLower = NULL, bordersMatUpper = NULL, bordersSeperateLower = NULL, bordersSeperateUpper = NULL, addOne = TRUE, eps = 0.001) {
    .Call(`_StochBlock_critFunction`, M, clu, weights, uWeights, dimensions, n, weightClusterSize, diagonal, sBorders, bordersMatLower, bordersMatUpper, bordersSeperateLower, bordersSeperateUpper, addOne, eps)
}