R/CompleteDataLL.R

Defines functions CompleteDataLL CompleteDataLLRcpp

CompleteDataLLRcpp <- function(d, alpha0, beta0, alphaS, betaS, z, w, alternative = "greater", 
    mciter = 50) {
    if (length(alpha0) == 1) {
        alpha0 <- rep(alpha0, nrow(d))
    }
    if (length(beta0) == 1) {
        beta0 <- rep(beta0, nrow(d))
    }
    if (length(alphaS) == 1) {
        alphaS <- rep(alphaS, nrow(d))
    }
    if (length(betaS) == 1) {
        betaS <- rep(betaS, nrow(d))
    }
    result <- .Call("CompleteDataLLRcpp", d[, "ns"], d[, "Ns"], d[, "nu"], d[, "Nu"], 
        alpha0, beta0, alphaS, betaS, z, w, alternative, mciter = mciter, package = "MIMOSA")
    return(result)
}
CompleteDataLL <- function(d, alpha0, beta0, alphaS, betaS, z, w, alternative = "greater", 
    mciter = 50) {
    if (alternative == "greater") {
        result <- MarginalGT(d[, "Ns"], d[, "ns"], d[, "Nu"], d[, "nu"], alpha0, 
            beta0, alphaS, betaS) * z[, 2]
    } else {
        result <- MarginalNE(d[, "Ns"], d[, "ns"], d[, "Nu"], d[, "nu"], alpha0, 
            beta0, alphaS, betaS) * z[, 2]
    }
    result <- result + MarginalNULL(d[, "Ns"], d[, "ns"], d[, "Nu"], d[, "nu"], alpha0, 
        beta0) * z[, 1]
    
    return(sum(result))
} 
RGLab/MIMOSA documentation built on Nov. 13, 2020, 5:04 a.m.