R/data.R

In GUD: Bayesian Modal Regression Based on the GUD Family

#' U.S. Statewide Crime data from the year 2003
#'
#' This dataset is sourced from the 5th edition of "The Art and Science of Learning from Data" by Alan Agresti and Christine Franklin.
#'
#' @format ## `crime`
#' A data frame with 51 rows and 9 columns:
#' \describe{
#'   \item{state}{The list of 50 states in the United States and the District of Columbia.}
#'   \item{violent crime rate}{The annual number of murders, forcible rapes, robberies, and aggravated assaults per 100,000 people in the population.}
#'   \item{murder rate}{The annual number of murders per 100,000 people in the population.}
#'   \item{poverty}{Percentage of the residents with income below the poverty level.}
#'   \item{high school}{Percentage of the adult residents who have at least a high school education.}
#'   \item{college}{Percentage of the adult residents who have a college education.}
#'   \item{single parent}{Percentage of families headed by a single parent.}
#'   \item{unemployed}{Percentage of the adult residents who are unemployed.}
#'   \item{metropolitan}{Percentage of the residents living in metropolitan areas.}
#' }
#' @source <https://img1.wsimg.com/blobby/go/bbca5dba-4947-4587-b40a-db346c01b1b3/downloads/us_statewide_crime.csv?ver=1709965708861>
"crime"