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#' @name expectedVariables
#' @export expectedVariables
#'
#' @title List Expected Parameter Names and Expected Variables Names
#' @description To assist in formula that defines the relationship to a node,
#' \code{expectedVariables} returns to the console
#' a sample string that can be pasted into \code{setNode}
#' and populated with the desired coefficients.
#'
#' @param network A \code{HydeNetwork} object.
#' @param node A node name within \code{network}
#' @param returnVector Logical. If FALSE, the sample string for use in
#' \code{setNode} is returned. Otherwise, the vector of parent names
#' is returned.
#'
#' @details Each node is calculated as a model of its parents. If no
#' training data are provided to the network, the user is expected to provide
#' appropriate estimates of the regression coefficients for the model.
#'
#' \code{returnVector} will generally be set to \code{FALSE} for most uses,
#' but can be set to \code{TRUE} for use in error checking. For example,
#' in \code{setNode}, if not all of the parents have been given a coefficient
#' (or if too few coefficients have been given), the vector of names is supplied.
#'
#' @author Jarrod Dalton and Benjamin Nutter
#' @examples
#' data(PE, package="HydeNet")
#' Net <- HydeNetwork(~ wells +
#' pe | wells +
#' d.dimer | pregnant*pe +
#' angio | pe +
#' treat | d.dimer*angio +
#' death | pe*treat)
#'
#' expectedVariables(Net, wells)
#' expectedVariables(Net, treat)
#' expectedVariables(Net, treat, returnVector=TRUE)
#'
#' expectedParameters(Net, wells)
#' expectedParameters(Net, wells, returnVector=TRUE)
expectedVariables <- function(network, node, returnVector=FALSE)
{
node <- as.character(substitute(node))
inputs <- network[["parents"]][[node]]
if (returnVector)
{
return(inputs)
}
if (is.null(inputs))
{
cat(paste(node, "~ 1"))
}
else
{
cat(paste(node, "~", paste(inputs, collapse=" + ")))
}
}
#' @rdname expectedVariables
#' @export expectedParameters
expectedParameters <- function(network, node, returnVector=FALSE)
{
node <- as.character(substitute(node))
inputs <- network[["nodeType"]][[node]]
params <- jagsDists[["RParameter"]][jagsDists[["FnName"]] == inputs]
names(params) <- jagsDists[["Parameters"]][jagsDists[["FnName"]] == inputs]
if (returnVector)
{
return(params)
}
else
{
cat(
paste(
paste(
paste0(params, "= "),
collapse=", "
)
)
)
}
}
expectedParameters_ <- function(network, node, returnVector=FALSE)
{
inputs <- network[["nodeType"]][[node]]
params <- jagsDists[["RParameter"]][jagsDists[["FnName"]] == inputs]
names(params) <- jagsDists[["Parameters"]][jagsDists[["FnName"]] == inputs]
if (returnVector)
{
return(params)
}
else
{
cat(
paste(
paste(
paste0(params, "= "),
collapse=", "
)
)
)
}
}
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