R/RcppExports.R

In DMQ: Dynamic Multiple Quantile (DMQ) Model

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

Loss <- function(dY, dQ, dTau, smooth = FALSE) {
    .Call(`_DMQ_Loss`, dY, dQ, dTau, smooth)
}

dHit <- function(dY, dQ, dTau, smooth = FALSE) {
    .Call(`_DMQ_dHit`, dY, dQ, dTau, smooth)
}

FilterDMQ <- function(vY, vTau, vQ_0, iTau_star, dBeta, dAlpha, dGamma, dPhi, ScalingType, vVar, smooth) {
    .Call(`_DMQ_FilterDMQ`, vY, vTau, vQ_0, iTau_star, dBeta, dAlpha, dGamma, dPhi, ScalingType, vVar, smooth)
}

XiPrediction <- function(vXi_bar, vTau, iH, vEta_tp1, dPhi, dGamma, iTau_star, vScaling) {
    .Call(`_DMQ_XiPrediction`, vXi_bar, vTau, iH, vEta_tp1, dPhi, dGamma, iTau_star, vScaling)
}

ReferencePrediction <- function(iH, dQ_bar, dBeta, dAlpha, dQ_tp1) {
    .Call(`_DMQ_ReferencePrediction`, iH, dQ_bar, dBeta, dAlpha, dQ_tp1)
}

Sim_C <- function(vQ, vCDF) {
    .Call(`_DMQ_Sim_C`, vQ, vCDF)
}

Simulate_DMQ_C <- function(iT, vTau, vQ_0, fSim, iTau_star, dBeta, dAlpha, dGamma, dPhi, ScalingType, vVar) {
    .Call(`_DMQ_Simulate_DMQ_C`, iT, vTau, vQ_0, fSim, iTau_star, dBeta, dAlpha, dGamma, dPhi, ScalingType, vVar)
}

Find_Xi0 <- function(vQ_0, vTau, dPhi, dGamma, iTau_star, vScaling) {
    .Call(`_DMQ_Find_Xi0`, vQ_0, vTau, dPhi, dGamma, iTau_star, vScaling)
}

h_fun <- function(l, j, iJ, vTau) {
    .Call(`_DMQ_h_fun`, l, j, iJ, vTau)
}

g_fun <- function(l, j, iJ, vTau) {
    .Call(`_DMQ_g_fun`, l, j, iJ, vTau)
}

Get_Gamma_tilde <- function(mGamma, vScaling, iJ, iTau_star) {
    .Call(`_DMQ_Get_Gamma_tilde`, mGamma, vScaling, iJ, iTau_star)
}

ScoreVariance_C <- function(vTau, vBeta, mIndex) {
    .Call(`_DMQ_ScoreVariance_C`, vTau, vBeta, mIndex)
}