Performs regression analysis for longitudinal count data using a self-decomposable probability distribution, a random intercept term is also allowed. Estimation is via maximization of the exact likelihood of a suitably defined model. Missing values and unbalanced data are allowed.
| Version: | 1.0-4 |
| Depends: | R (≥ 2.10.0), methods, stats, graphics, utils |
| Published: | 2015-04-15 |
| Author: | M. Helena Gonçalves and M. Salomé Cabral, apart from a set of Fortran-77 subroutines written by R. Piessens and E. de Doncker, belonging to the suite "Quadpack". |
| Maintainer: | M. Helena Gonçalves <mhgoncal at ualg.pt> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | cold citation info |
| Materials: | NEWS |
| CRAN checks: | cold results |
| Reference manual: | cold.pdf |
| Package source: | cold_1.0-4.tar.gz |
| Windows binaries: | r-devel: cold_1.0-4.zip, r-release: cold_1.0-4.zip, r-oldrel: cold_1.0-4.zip |
| OS X Mavericks binaries: | r-release: cold_1.0-4.tgz, r-oldrel: cold_1.0-4.tgz |
| Old sources: | cold archive |
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