\name{Contraception}
\alias{Contraception}
\docType{data}
\title{Contraceptive use in Bangladesh}
\description{
  These data on the use of contraception by women in urban and rural
  areas come from the 1988 Bangladesh Fertility Survey.
}
\usage{data(Contraception)}
\format{
  A data frame with 1934 observations on the following 6 variables.
  \describe{
    \item{woman}{Identifying code for each woman - a factor}
    \item{district}{Identifying code for each district - a factor}
    \item{use}{Contraceptive use at time of survey}
    \item{livch}{Number of living children at time of survey - an
      ordered factor.  Levels are \code{0}, \code{1}, \code{2}, \code{3+}}
    \item{age}{Age of woman at time of survey (in years), centred around
      mean.}
    \item{urban}{Type of region of residence - a factor.  Levels are
      \code{urban} and \code{rural}}
  }
}
%\details{}
\source{
  \url{https://www.bristol.ac.uk/cmm/learning/mmsoftware/data-rev.html}
}
\references{
  Huq, N. M., and Cleland, J. (1990). \emph{Bangladesh Fertility Survey 1989 
  (Main Report)} Dhaka: National Institute of Population Research and Training.
}
\examples{
str(Contraception)
summary(Contraception)
(fm1 <- glmer(use ~ urban+age+livch+(1|district), Contraception, binomial))
(fm2 <- glmer(use ~ urban+age+livch+(urban|district), Contraception, binomial))
}
\keyword{datasets}
