R/RcppExports.R

In cna: Causal Modeling with Coincidence Analysis

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

C_concat <- function(x, sep) {
    .Call(`_cna_C_concat`, x, sep)
}

C_mconcat <- function(x, sep, sorted = FALSE) {
    .Call(`_cna_C_mconcat`, x, sep, sorted)
}

C_charList2string <- function(x, disj = "+", conj = "*", sorted = FALSE) {
    .Call(`_cna_C_charList2string`, x, disj, conj, sorted)
}

C_recCharList2char <- function(x, disj = "+", conj = "*", sorted = FALSE) {
    .Call(`_cna_C_recCharList2char`, x, disj, conj, sorted)
}

C_find_first_false <- function(x) {
    .Call(`_cna_C_find_first_false`, x)
}

C_redund <- function(x) {
    .Call(`_cna_C_redund`, x)
}

C_mredund <- function(x, l) {
    .Call(`_cna_C_mredund`, x, l)
}

C_relist_Int <- function(x, l) {
    .Call(`_cna_C_relist_Int`, x, l)
}

C_relist_Num <- function(x, l) {
    .Call(`_cna_C_relist_Num`, x, l)
}

C_relist_Log <- function(x, l) {
    .Call(`_cna_C_relist_Log`, x, l)
}

C_relist_Char <- function(x, l) {
    .Call(`_cna_C_relist_Char`, x, l)
}

C_relist_List <- function(x, l) {
    .Call(`_cna_C_relist_List`, x, l)
}

C_varies <- function(x, y, asfSelection = "none") {
    .Call(`_cna_C_varies`, x, y, asfSelection)
}

C_conCov <- function(x, y, f) {
    .Call(`_cna_C_conCov`, x, y, f)
}

C_subsetMin <- function(x, sub) {
    .Call(`_cna_C_subsetMin`, x, sub)
}

C_conjScore <- function(x, m) {
    .Call(`_cna_C_conjScore`, x, m)
}

C_init_ii <- function(nn, st) {
    .Call(`_cna_C_init_ii`, nn, st)
}

C_set_lim <- function(nn, st) {
    .Call(`_cna_C_set_lim`, nn, st)
}

C_max_which <- function(x) {
    .Call(`_cna_C_max_which`, x)
}

C_increment <- function(ii, nn, st, lim) {
    .Call(`_cna_C_increment`, ii, nn, st, lim)
}

C_find_asf <- function(conjlen, x, y, f, con, cov, maxSol) {
    .Call(`_cna_C_find_asf`, conjlen, x, y, f, con, cov, maxSol)
}

C_conj_conCov <- function(cols, x, y, f) {
    .Call(`_cna_C_conj_conCov`, cols, x, y, f)
}

C_disj_conCov <- function(cols, x, y, f) {
    .Call(`_cna_C_disj_conCov`, cols, x, y, f)
}

C_disj_contained <- function(x, y, shortcut) {
    .Call(`_cna_C_disj_contained`, x, y, shortcut)
}

C_is_submodel <- function(x, ref, strict) {
    .Call(`_cna_C_is_submodel`, x, ref, strict)
}

C_minimal <- function(x, ref, strict) {
    .Call(`_cna_C_minimal`, x, ref, strict)
}

C_rowSubsetColAnys <- function(x, rows) {
    .Call(`_cna_C_rowSubsetColAnys`, x, rows)
}

C_checkHall_k <- function(x, k) {
    .Call(`_cna_C_checkHall_k`, x, k)
}

C_checkHallsCondition <- function(x) {
    .Call(`_cna_C_checkHallsCondition`, x)
}

C_intList_minimal_old <- function(x, ref, ignore_equals) {
    .Call(`_cna_C_intList_minimal_old`, x, ref, ignore_equals)
}

C_minimal_old <- function(x, ref, ignore_equals) {
    .Call(`_cna_C_minimal_old`, x, ref, ignore_equals)
}

C_countUniques <- function(x) {
    .Call(`_cna_C_countUniques`, x)
}

C_duplicatedMat <- function(x) {
    .Call(`_cna_C_duplicatedMat`, x)
}

C_uniqueMat <- function(x) {
    .Call(`_cna_C_uniqueMat`, x)
}

C_selectCols <- function(x, idx) {
    .Call(`_cna_C_selectCols`, x, idx)
}

C_uniqueCombs <- function(x, idx) {
    .Call(`_cna_C_uniqueCombs`, x, idx)
}

C_isSubsetOf <- function(x, y) {
    .Call(`_cna_C_isSubsetOf`, x, y)
}

intList_equal <- function(x, y) {
    .Call(`_cna_intList_equal`, x, y)
}

C_hasSubsetIn <- function(y, x) {
    .Call(`_cna_C_hasSubsetIn`, y, x)
}

C_hasSupersetIn <- function(x, y, ignore_equals) {
    .Call(`_cna_C_hasSupersetIn`, x, y, ignore_equals)
}

C_hasSubsetInM <- function(y, x) {
    .Call(`_cna_C_hasSubsetInM`, y, x)
}

C_append_intList <- function(x, y) {
    .Call(`_cna_C_append_intList`, x, y)
}