R/RcppExports.R

In ericdunipace/CoarsePosteriorSummary: Interpretable Model Summaries Using the Wasserstein Distance

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

brierScore_ <- function(y, event, times, pred, cens_weight, cens_prob, S, S_c) {
    .Call(`_SLIMpaper_brierScore_`, y, event, times, pred, cens_weight, cens_prob, S, S_c)
}

bayesConjRegNormal <- function(n_samp, hyperparameters, Y_, X_) {
    .Call(`_SLIMpaper_bayesConjRegNormal`, n_samp, hyperparameters, Y_, X_)
}

rmvnorm <- function(nsamples, mean, covariance) {
    .Call(`_SLIMpaper_rmvnorm`, nsamples, mean, covariance)
}

dmvnorm <- function(x, mean, covariance) {
    .Call(`_SLIMpaper_dmvnorm`, x, mean, covariance)
}