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#' Add zero rxerr.endpoint to the model
#'
#' @param ui rxode2 ui model
#' @param theta model parameters
#' @return theta with rxerr.endpoint added
#' @noRd
#' @author Matthew L. Fidler
.addRxerr <- function(ui, theta) {
if (is.null(ui$predDf)) return(theta)
c(theta,
setNames(rep(0, length(ui$predDf$var)),
paste0("rxerr.", ui$predDf$var)))
}
#' This takes the theta and etas to get a data frame for rxode2 solving & validation
#'
#' @param ui rxode2 ui imported from monolix
#' @param pop boolean that indicates if this parameter is for a
#' population solve
#' @return the theta/eta data frame used for validation
#' @noRd
#' @author Matthew L. Fidler
.parameterThetaEta <- function(ui, pop=FALSE) {
.etaData <- ui$etaData
.theta <- .addRxerr(ui, ui$theta)
if (pop) {
.n <- names(ui$etaData)
.n <- .n[.n != "id"]
return(c(.theta, setNames(rep(0.0, length(.n)), .n)))
}
.nid <- length(.etaData$id)
.id <- .etaData[,"id", drop=FALSE]
.rest <- .etaData[, -which(names(.etaData) == "id"), drop = FALSE]
.thetaDf <- lapply(names(.theta),
function(t) {
rep(.theta[t], .nid)
})
names(.thetaDf) <- names(.theta)
.thetaDf <- as.data.frame(.thetaDf)
cbind(.id, .thetaDf, .rest)
}
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