\name{bild-package}
\alias{bild-package}
\docType{package}
\title{A Package for BInary Longitudinal Data}
\description{
Performs logistic regression for binary longitudinal
  data, allowing for serial dependence among observations from a given
  individual and a random intercept term. Estimation is via maximization
  of the exact likelihood of a suitably defined model. Missing values and 
  unbalanced data are allowed, with some restrictions. 
}
\details{This package contains functions to perform the fit of parametric models via likelihood method for binary
longitudinal data using "S4" classes and methods as implemented in the \code{methods} package.}
\author{M. Helena Goncalves, M.Salome Cabral and Adelchi Azzalini}
\references{Azzalini, A. (1994). Logistic regression for autocorrelated data with application to repeated measures. 
\emph{Biometrika}, 81, 767-775. Amendment: (1997) vol. 84, 989.

Goncalves, M. Helena (2002) \emph{ Likelihood methods for discrete longitudinal data}. PhD thesis, Faculty of Sciences, University of Lisbon.
  
Goncalves, M. Helena and Azzalini, A. (2008). Using Markov chains for marginal modelling of binary longitudinal data 
in an exact likelihood approach. \emph{Metron}, vol LXVI, 2, 157-181.
  
Goncalves MH, Cabral MS and Azzalini A (2012). 
The R Package \code{bild} for the Analysis of Binary Longitudinal Data. \emph{Journal of Statistical Software}, 46(9), 1-17.}

\section{Acknowledgments}{We would like to thank the CRAN team for help in the fine tuning of the Fortran code.}

\keyword{package}

\seealso{\code{\link{bild-class}}, \code{\link{bild}}, \code{\link[methods]{Methods}}}