R/RcppExports.R

In Rlgt: Bayesian Exponential Smoothing Models with Trend Modifications

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

rcpp_GridSampleTauPhi <- function(T, u, chi2, e, logl, omega2, nu) {
    .Call(`_Rlgt_rcpp_GridSampleTauPhi`, T, u, chi2, e, logl, omega2, nu)
}

rcpp_GridSamplePhi <- function(T, u, chi2, tau, e, logl, nu) {
    .Call(`_Rlgt_rcpp_GridSamplePhi`, T, u, chi2, tau, e, logl, nu)
}

rcpp_GridSampleRho <- function(R, u, ytilde, v2, logl, w1, nu, s, rhoscale) {
    .Call(`_Rlgt_rcpp_GridSampleRho`, R, u, ytilde, v2, logl, w1, nu, s, rhoscale)
}

rcpp_GridSampleRhoGaussianMix <- function(R, u, ytilde, v2, logl, w1) {
    .Call(`_Rlgt_rcpp_GridSampleRhoGaussianMix`, R, u, ytilde, v2, logl, w1)
}

rcpp_expsmooth <- function(y, alphaV, betaV, l1, b1) {
    .Call(`_Rlgt_rcpp_expsmooth`, y, alphaV, betaV, l1, b1)
}

rcpp_sexpsmooth <- function(y, alphaV, betaV, zetaV, l1, b1, log_s1) {
    .Call(`_Rlgt_rcpp_sexpsmooth`, y, alphaV, betaV, zetaV, l1, b1, log_s1)
}