R/RcppExports.R

In henrykye/semiBRM: Semiparametric Binary Response Models in R

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

.GaussianMultivar <- function(Y, X, args, H) {
    .Call(`_semiBRM_GaussianMultivar`, Y, X, args, H)
}

.GaussianMultivarOMP <- function(Y, X, args, H, n_cores = 3L) {
    .Call(`_semiBRM_GaussianMultivarOMP`, Y, X, args, H, n_cores)
}

.GaussianMultivarLeaveOneOut <- function(Y, X, H) {
    .Call(`_semiBRM_GaussianMultivarLeaveOneOut`, Y, X, H)
}

.GaussianMultivarLeaveOneOutOMP <- function(Y, X, H, n_cores = 3L) {
    .Call(`_semiBRM_GaussianMultivarLeaveOneOutOMP`, Y, X, H, n_cores)
}

.GaussianUnivar <- function(Y, X, args, H) {
    .Call(`_semiBRM_GaussianUnivar`, Y, X, args, H)
}

.GaussianUnivarOMP <- function(Y, X, args, H, n_cores = 3L) {
    .Call(`_semiBRM_GaussianUnivarOMP`, Y, X, args, H, n_cores)
}

.GaussianUnivarLeaveOneOut <- function(Y, X, H) {
    .Call(`_semiBRM_GaussianUnivarLeaveOneOut`, Y, X, H)
}

.GaussianUnivarLeaveOneOutOMP <- function(Y, X, H, n_cores = 3L) {
    .Call(`_semiBRM_GaussianUnivarLeaveOneOutOMP`, Y, X, H, n_cores)
}