bild-package {bild}R Documentation

A Package for BInary Longitudinal Data


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.


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 methods package.


We would like to thank the CRAN team for help in the fine tuning of the Fortran code.


M. Helena Goncalves, M.Salome Cabral and Adelchi Azzalini


Azzalini, A. (1994). Logistic regression for autocorrelated data with application to repeated measures. Biometrika, 81, 767-775. Amendment: (1997) vol. 84, 989.

Goncalves, M. Helena (2002) 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. Metron, vol LXVI, 2, 157-181.

Goncalves MH, Cabral MS and Azzalini A (2012). The R Package bild for the Analysis of Binary Longitudinal Data. Journal of Statistical Software, 46(9), 1-17.

See Also

bild-class, bild, Methods

[Package bild version 1.2-0 Index]