R/RcppExports.R

Defines functions XPlusYZ XPlusYColTimesZ XColMinusY XAPlusYZB sumZTPoissonYLat sumZTPoissonYObs sumZTPoissonY intWeibullPowYLat intWeibullPowYObs intWeibullLogYLat intWeibullLogYObs sumPoissonYLat sumPoissonYObs sumPoissonY sumNegativeBinomialLfacYLat sumNegativeBinomialLfacYObs sumNegativeBinomialLfacY sumNegativeBinomialYLat sumNegativeBinomialYObs sumNegativeBinomialY intInvGaussInvYLat intInvGaussInvYObs intInvGaussYLat intInvGaussYObs intInvGaussLogYLat intInvGaussLogYObs intGammaLogYLat intGammaLogYObs intBurrPolYLat intBurrPolYObs intBurrLogYLat intBurrLogYObs sumBinomialYLat sumBinomialYObs sumBinomialY EMalphadQ2 EMalphadQ ColMaxIdx

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

ColMaxIdx <- function(w) {
    .Call(`_LRMoE_ColMaxIdx`, w)
}

EMalphadQ <- function(x, zj, z, p) {
    .Call(`_LRMoE_EMalphadQ`, x, zj, z, p)
}

EMalphadQ2 <- function(x, z, p, q) {
    .Call(`_LRMoE_EMalphadQ2`, x, z, p, q)
}

sumBinomialY <- function(n, p, lower_, upper_) {
    .Call(`_LRMoE_sumBinomialY`, n, p, lower_, upper_)
}

sumBinomialYObs <- function(n_, p_, lower_, upper_) {
    .Call(`_LRMoE_sumBinomialYObs`, n_, p_, lower_, upper_)
}

sumBinomialYLat <- function(n_, p_, lower_, upper_) {
    .Call(`_LRMoE_sumBinomialYLat`, n_, p_, lower_, upper_)
}

intBurrLogYObs <- function(k_, c_, lambda_, lower_, upper_) {
    .Call(`_LRMoE_intBurrLogYObs`, k_, c_, lambda_, lower_, upper_)
}

intBurrLogYLat <- function(k_, c_, lambda_, lower_, upper_) {
    .Call(`_LRMoE_intBurrLogYLat`, k_, c_, lambda_, lower_, upper_)
}

intBurrPolYObs <- function(k_, c_, lambda_, cc_, ll_, lower_, upper_) {
    .Call(`_LRMoE_intBurrPolYObs`, k_, c_, lambda_, cc_, ll_, lower_, upper_)
}

intBurrPolYLat <- function(k_, c_, lambda_, cc_, ll_, lower_, upper_) {
    .Call(`_LRMoE_intBurrPolYLat`, k_, c_, lambda_, cc_, ll_, lower_, upper_)
}

intGammaLogYObs <- function(m_, theta_, lower_, upper_) {
    .Call(`_LRMoE_intGammaLogYObs`, m_, theta_, lower_, upper_)
}

intGammaLogYLat <- function(m_, theta_, lower_, upper_) {
    .Call(`_LRMoE_intGammaLogYLat`, m_, theta_, lower_, upper_)
}

intInvGaussLogYObs <- function(mu_, lambda_, lower_, upper_) {
    .Call(`_LRMoE_intInvGaussLogYObs`, mu_, lambda_, lower_, upper_)
}

intInvGaussLogYLat <- function(mu_, lambda_, lower_, upper_) {
    .Call(`_LRMoE_intInvGaussLogYLat`, mu_, lambda_, lower_, upper_)
}

intInvGaussYObs <- function(mu_, lambda_, lower_, upper_) {
    .Call(`_LRMoE_intInvGaussYObs`, mu_, lambda_, lower_, upper_)
}

intInvGaussYLat <- function(mu_, lambda_, lower_, upper_) {
    .Call(`_LRMoE_intInvGaussYLat`, mu_, lambda_, lower_, upper_)
}

intInvGaussInvYObs <- function(mu_, lambda_, lower_, upper_) {
    .Call(`_LRMoE_intInvGaussInvYObs`, mu_, lambda_, lower_, upper_)
}

intInvGaussInvYLat <- function(mu_, lambda_, lower_, upper_) {
    .Call(`_LRMoE_intInvGaussInvYLat`, mu_, lambda_, lower_, upper_)
}

sumNegativeBinomialY <- function(n, p, lower_, upper_) {
    .Call(`_LRMoE_sumNegativeBinomialY`, n, p, lower_, upper_)
}

sumNegativeBinomialYObs <- function(n_, p_, lower_, upper_) {
    .Call(`_LRMoE_sumNegativeBinomialYObs`, n_, p_, lower_, upper_)
}

sumNegativeBinomialYLat <- function(n_, p_, lower_, upper_) {
    .Call(`_LRMoE_sumNegativeBinomialYLat`, n_, p_, lower_, upper_)
}

sumNegativeBinomialLfacY <- function(n, p, nn, lower_, upper_) {
    .Call(`_LRMoE_sumNegativeBinomialLfacY`, n, p, nn, lower_, upper_)
}

sumNegativeBinomialLfacYObs <- function(n_, p_, nn_, lower_, upper_) {
    .Call(`_LRMoE_sumNegativeBinomialLfacYObs`, n_, p_, nn_, lower_, upper_)
}

sumNegativeBinomialLfacYLat <- function(n_, p_, nn_, lower_, upper_) {
    .Call(`_LRMoE_sumNegativeBinomialLfacYLat`, n_, p_, nn_, lower_, upper_)
}

sumPoissonY <- function(mu, lower_, upper_) {
    .Call(`_LRMoE_sumPoissonY`, mu, lower_, upper_)
}

sumPoissonYObs <- function(mu_, lower_, upper_) {
    .Call(`_LRMoE_sumPoissonYObs`, mu_, lower_, upper_)
}

sumPoissonYLat <- function(mu_, lower_, upper_) {
    .Call(`_LRMoE_sumPoissonYLat`, mu_, lower_, upper_)
}

intWeibullLogYObs <- function(k_, lambda_, lower_, upper_) {
    .Call(`_LRMoE_intWeibullLogYObs`, k_, lambda_, lower_, upper_)
}

intWeibullLogYLat <- function(k_, lambda_, lower_, upper_) {
    .Call(`_LRMoE_intWeibullLogYLat`, k_, lambda_, lower_, upper_)
}

intWeibullPowYObs <- function(k_, lambda_, p_, lower_, upper_) {
    .Call(`_LRMoE_intWeibullPowYObs`, k_, lambda_, p_, lower_, upper_)
}

intWeibullPowYLat <- function(k_, lambda_, p_, lower_, upper_) {
    .Call(`_LRMoE_intWeibullPowYLat`, k_, lambda_, p_, lower_, upper_)
}

sumZTPoissonY <- function(mu, lower_, upper_) {
    .Call(`_LRMoE_sumZTPoissonY`, mu, lower_, upper_)
}

sumZTPoissonYObs <- function(mu_, lower_, upper_) {
    .Call(`_LRMoE_sumZTPoissonYObs`, mu_, lower_, upper_)
}

sumZTPoissonYLat <- function(mu_, lower_, upper_) {
    .Call(`_LRMoE_sumZTPoissonYLat`, mu_, lower_, upper_)
}

XAPlusYZB <- function(x, a, y, z, b) {
    .Call(`_LRMoE_XAPlusYZB`, x, a, y, z, b)
}

XColMinusY <- function(x, y) {
    .Call(`_LRMoE_XColMinusY`, x, y)
}

XPlusYColTimesZ <- function(x, y, z) {
    .Call(`_LRMoE_XPlusYColTimesZ`, x, y, z)
}

XPlusYZ <- function(x, y, z) {
    .Call(`_LRMoE_XPlusYZ`, x, y, z)
}
sparktseung/LRMoE documentation built on March 21, 2022, 3:22 a.m.