R/RcppExports.R

In netrankr: Analyzing Partial Rankings in Networks

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

approx_glpom <- function(P) {
    .Call('_netrankr_approx_glpom', PACKAGE = 'netrankr', P)
}

approx_relative <- function(Nu, Nd, P, iterative, max_iter) {
    .Call('_netrankr_approx_relative', PACKAGE = 'netrankr', Nu, Nd, P, iterative, max_iter)
}

checkPairs <- function(x, y) {
    .Call('_netrankr_checkPairs', PACKAGE = 'netrankr', x, y)
}

dependCurFlow <- function(Tmat, el, m, n) {
    .Call('_netrankr_dependCurFlow', PACKAGE = 'netrankr', Tmat, el, m, n)
}

dependRspn <- function(A, Z, Zdiv, W, n) {
    .Call('_netrankr_dependRspn', PACKAGE = 'netrankr', A, Z, Zdiv, W, n)
}

dependency <- function(adj) {
    .Call('_netrankr_dependency', PACKAGE = 'netrankr', adj)
}

LatticeOfIdeals <- function(child, parent, Ek, nElem, nIdeals) {
    .Call('_netrankr_LatticeOfIdeals', PACKAGE = 'netrankr', child, parent, Ek, nElem, nIdeals)
}

listingIdeals <- function(P, nElem, nIdeals) {
    .Call('_netrankr_listingIdeals', PACKAGE = 'netrankr', P, nElem, nIdeals)
}

mcmc_rank_dense <- function(P, init_rank, rp) {
    .Call('_netrankr_mcmc_rank_dense', PACKAGE = 'netrankr', P, init_rank, rp)
}

mcmc_rank_sparse <- function(P, init_rank, rp) {
    .Call('_netrankr_mcmc_rank_sparse', PACKAGE = 'netrankr', P, init_rank, rp)
}

nialgo <- function(adjList, deg) {
    .Call('_netrankr_nialgo', PACKAGE = 'netrankr', adjList, deg)
}

matdom <- function(B, map, benefit) {
    .Call('_netrankr_matdom', PACKAGE = 'netrankr', B, map, benefit)
}

preserve <- function(P, s, n) {
    .Call('_netrankr_preserve', PACKAGE = 'netrankr', P, s, n)
}

rankprobs <- function(ImPred, ideals, nElem, nIdeals) {
    .Call('_netrankr_rankprobs', PACKAGE = 'netrankr', ImPred, ideals, nElem, nIdeals)
}

rankings <- function(paths, ideals, nRank, nElem) {
    .Call('_netrankr_rankings', PACKAGE = 'netrankr', paths, ideals, nRank, nElem)
}

resistanceDistance <- function(C, n) {
    .Call('_netrankr_resistanceDistance', PACKAGE = 'netrankr', C, n)
}

transreduct <- function(M) {
    .Call('_netrankr_transreduct', PACKAGE = 'netrankr', M)
}

treeOfIdeals <- function(imPred) {
    .Call('_netrankr_treeOfIdeals', PACKAGE = 'netrankr', imPred)
}