% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/cr_naiveConcordance.R
\name{naiveConcordance}
\alias{naiveConcordance}
\title{Naive Concordance}
\usage{
naiveConcordance(responses, predictedMortalities)
}
\arguments{
\item{responses}{A list of responses corresponding to the provided
mortalities; use \code{\link{CR_Response}}.}

\item{predictedMortalities}{A list of mortality vectors; each element of the
list should correspond to one of the events in the order of event 1 to J,
and should be a vector of the same length as responses.}
}
\value{
A vector of 1 minus the concordance scores, with each element
  corresponding to one of the events. To be clear, the lower the score the
  more accurate the model was.
}
\description{
Used to calculate a concordance index error. The user needs to supply a list
of mortalities, with each item in the list being a vector for the
corresponding event. To calculate mortalities a user should look to
\code{\link{extractMortalities}}.
}
\examples{
data <- data.frame(delta=c(1,1,0,0,2,2), T=1:6, x=1:6)

model <- train(CR_Response(delta, T) ~ x, data, ntree=100, numberOfSplits=0, mtry=1, nodeSize=1)

newData <- data.frame(delta=c(1,0,2,1,0,2), T=1:6, x=1:6)
predictions <- predict(model, newData)

mortalities <- list(
  extractMortalities(predictions, 1, 6),
  extractMortalities(predictions, 2, 6)
)

naiveConcordance(CR_Response(newData$delta, newData$T), mortalities)

}