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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. M. Helena Goncalves et al.(2007) <doi:10.18637/jss.v046.i09>.
| Version: | 1.2-1 |
| Depends: | R (≥ 3.1.0), methods, stats, graphics, grDevices, utils |
| Published: | 2023-11-03 |
| Author: | M. Helena Goncalves, M. Salome 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". |
| Maintainer: | M. Helena Goncalves <mhgoncal at ualg.pt> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | bild citation info |
| Materials: | NEWS |
| In views: | MissingData |
| CRAN checks: | bild results |
| Reference manual: | bild.pdf |
| Package source: | bild_1.2-1.tar.gz |
| Windows binaries: | r-devel: bild_1.2-1.zip, r-release: bild_1.2-1.zip, r-oldrel: bild_1.2-1.zip |
| macOS binaries: | r-release (arm64): bild_1.2-1.tgz, r-oldrel (arm64): bild_1.2-1.tgz, r-release (x86_64): bild_1.2-1.tgz, r-oldrel (x86_64): bild_1.2-1.tgz |
| Old sources: | bild archive |
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