R/data-mmmec.R

In R2MLwiN: Running 'MLwiN' from Within R

#' EC data on UV radiation exposure & malignant melanoma.
#' 
#' EC data on UV radiation exposure & malignant melanoma, consisting of 354
#' counties across 79 regions across 9 nations.
#' 
#' The \code{mmmec} dataset is one of the sample datasets provided with the
#' multilevel-modelling software package MLwiN (Rasbash et al., 2009). Further
#' information can be found in Langford et al. (1998) and Browne (2012).
#' 
#' @docType data
#' @format A data frame with 354 observations on the following variables:
#' \describe{
#' \item{nation}{Nation ID: a factor with levels corresponding to each country.}
#' \item{region}{Region (within-nation) ID.}
#' \item{county}{County (within-region) ID.}
#' \item{obs}{Number of male deaths due to malignant melanoma between 1971 and
#' 1980.}
#' \item{exp}{Expected number of deaths - proportional to county population.}
#' \item{cons}{Constant (=1).}
#' \item{uvbi}{County-level measurement of UV B radiation, centered on the
#' mean.}
#' }
#' @seealso See \code{mlmRev} package for an alternative format of the same
#' dataset, with fewer variables.
#' @source Browne, W. J. (2012) \emph{MCMC Estimation in MLwiN Version 2.26.}
#' University of Bristol: Centre for Multilevel Modelling.
#' 
#' Langford, I. H., Bentham, G., McDonald, A-L. (1998) Multi-level modelling of
#' geographically aggregated health data: a case study on malignant melanoma
#' mortality and UV exposure in the European Community. \emph{Statistics in
#' Medicine} 17: 41-57.
#' 
#' Rasbash, J., Charlton, C., Browne, W.J., Healy, M. and Cameron, B. (2009)
#' \emph{MLwiN Version 2.1.} Centre for Multilevel Modelling, University of
#' Bristol.
#' @keywords datasets
#' @examples
#' 
#' \dontrun{
#' 
#' data(mmmec, package = "R2MLwiN")
#' 
#' (mymodel3 <- runMLwiN(log(obs) ~ 1 + uvbi + offset(log(exp)) + (1 | nation) + (1 | region), 
#'  D = "Poisson", estoptions = list(EstM = 1), data = mmmec))
#' 
#' }
#' 
"mmmec"