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The R Package bild for the Analysis of Binary Longitudinal Data

Author

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  • Gonçalves, M. Helena
  • Cabral, M. Salomé
  • Azzalini, Adelchi

Abstract

We present the R package bild for the parametric and graphical analysis of binary longitudinal data. The package 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. The code of bild is written partly in R language, partly in Fortran 77, interfaced through R. The package is built following the S4 formulation of R methods.

Suggested Citation

  • Gonçalves, M. Helena & Cabral, M. Salomé & Azzalini, Adelchi, 2012. "The R Package bild for the Analysis of Binary Longitudinal Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 46(i09).
    • Handle: RePEc:jss:jstsof:v:046:i09
    DOI: http://hdl.handle.net/10.18637/jss.v046.i09
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    Cited by:

    1. Laura Maniscalco & Martijn Schouteden & Jan Boon & Domenica Matranga & Lode Godderis, 2020. "The Impact of a Change in Employment on Three Work-Related Diseases: A Retrospective Longitudinal Study of 10,530 Belgian Employees," IJERPH, MDPI, vol. 17(20), pages 1-14, October.

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