R/icu.R

In lsm: Estimation of the log Likelihood of the Saturated Model

#' icu
#' 
#' @title icu
#' @name icu
#' @usage icu
#' @format A data frame with 200 observations on the following 21 variables.
#' \describe{
#'  \item{\code{ID}}{a numeric vector}
#'  \item{\code{STA}}{a numeric vector}
#'  \item{\code{AGE}}{a numeric vector}
#'  \item{\code{GENDER}}{a numeric vector}
#'  \item{\code{RACE}}{a numeric vector}
#'  \item{\code{SER}}{a numeric vector}
#'  \item{\code{CAN}}{a numeric vector}
#'  \item{\code{CRN}}{a numeric vector}
#'  \item{\code{INF}}{a numeric vector}
#'  \item{\code{CPR}}{a numeric vector}
#'  \item{\code{SYS}}{a numeric vector}
#'  \item{\code{HRA}}{a numeric vector}
#'  \item{\code{PRE}}{a numeric vector}
#'  \item{\code{TYP}}{a numeric vector}
#'  \item{\code{FRA}}{a numeric vector}
#'  \item{\code{PO2}}{a numeric vector}
#'  \item{\code{PH}}{a numeric vector}
#'  \item{\code{PCO}}{a numeric vector}
#'  \item{\code{BIC}}{a numeric vector}
#'  \item{\code{CRE}}{a numeric vector}
#'  \item{\code{LOC}}{a numeric vector}
#' }
#' 
#' @references Hosmer, D. (2013). Wiley Series in Probability and Statistics Ser. : Applied Logistic Regression (3). New York: John Wiley & Sons, Incorporated.
#' @examples
#'   # data(icu)
#'   # maybe str(icu) ; plot(icu) ...
#' @keywords data
NULL