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.
|Author||M. Helena Gonalves, M. Salom Cabral and Adelchi Azzalini, apart from a set of Fortran-77 subroutines written by R. Piessens and E. de Doncker, belonging to the suite "Quadpack".|
|Date of publication||2015-04-14 23:50:31|
|Maintainer||M. Helena Gonalves <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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