MIBench: What the Package Does (One Line, Title Case)

#' Data from the 2008 American National Election Study (ANES)
#'
#' This is a subset of the complete cases on 11 variables to use for evaluating
#' multiple imputation algorithms. The missingness is introduced by a known
#' mechanism in a separate step.
#'
#' Please refer to Kropko, Jonathan; Goodrich, Ben; Gelman, Andrew; Hill, Jennifer, 2014,
#' "Replication data for: Multiple Imputation for Continuous and Categorical Data: Comparing Joint Multivariate Normal and Conditional Approaches",
#' https://doi.org/10.7910/DVN/24672, Harvard Dataverse, V3, UNF:5:QuxE8nFhbW2JZT+OW9WzWw== [fileUNF]
#' for more information on the original data.
#'
#' @format A data frame with 11 variables: \code{religion}, \code{married},
#'   \code{education}, \code{income}, \code{time}, \code{vote}, \code{jobs_r},
#'   \code{imp_enviro}, \code{female}, \code{white,} and \code{age}.
#'
"anes2008_complete_cases"