#' Mus musculus data set
#'
#' A data frame containing simulated count data of a house mouse.
#'
#'@format A data frame with 400 rows and 5 columns
#' \describe{
#' \item{musculus}{integer - Simulated count data for Mus musculus}
#' \item{pollution}{numeric - Simulated variable that describes degree
#' of pollution in corresponding grid cell}
#' \item{exposure}{numeric - Simulated variable that describes degree of
#' exposure for each grid cell}
#' \item{x}{integer - x-coordinates for each grid cell}
#' \item{y}{integer - y-coordinates for each grid cell}
#' }
#'
"musdata"
#'Hook data set
#'
#'A data frame containing actual presence absence data and predicted probability
#'of occurrence values.
#'
#'@format A data frame with 100 rows and 4 columns
#' \describe{
#' \item{actuals}{integer - Presence/absence records}
#' \item{predictions}{numeric - predicted probabilities of occurrence}
#' \item{x}{integer - x-coordinates for each grid cell}
#' \item{y}{integer - y-coordinates for each grid cell}
#'
#' }
"hook"
#' Carlina data set
#'
#' A data frame containing simulated count data for the thistle, Carlina horrida.
#'
#' @format A data frame with 961 rows and 5 columns
#' \describe{
#' \item{carlina.horrida}{integer - Simulated count data}
#' \item{aridity}{numeric - Simulated aridity index values. This variable has high spatial autocorrelation
#' values.}
#' \item{land.use}{numeric - Simulated land use intensity. This variable has no spatial autocorrelation.}
#' \item{x}{integer - x-coordinates for each grid cell}
#' \item{y}{integer - y-coordinates for each grid cell}
#' }
"carlinadata"
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