R/RcppExports.R

In rje42/causl: Methods for Specifying, Simulating from and Fitting Causal Models

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

cumsum_mat <- function(x) {
    .Call(`_causl_cumsum_mat`, x)
}

Rpr <- function(x, max) {
    invisible(.Call(`_causl_Rpr`, x, max))
}

locations <- function(u, v) {
    .Call(`_causl_locations`, u, v)
}

g <- function(n) {
    .Call(`_causl_g`, n)
}

dGcop <- function(x, sigma, logd = FALSE) {
    .Call(`_causl_dGcop`, x, sigma, logd)
}

dGcop_sig <- function(x, sigma, logd = FALSE) {
    .Call(`_causl_dGcop_sig`, x, sigma, logd)
}

dGDcop <- function(x, sigma, trunc, logd = FALSE) {
    .Call(`_causl_dGDcop`, x, sigma, trunc, logd)
}

dGDcop_sig <- function(x, sigma, trunc, logd = FALSE) {
    .Call(`_causl_dGDcop_sig`, x, sigma, trunc, logd)
}

dGDcop2_sig <- function(x, sigma, eta, q, logd = FALSE) {
    .Call(`_causl_dGDcop2_sig`, x, sigma, eta, q, logd)
}

dGDcop2 <- function(x, sigma, eta, q, logd = FALSE) {
    .Call(`_causl_dGDcop2`, x, sigma, eta, q, logd)
}