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Bayesian variable selection for regression models of under-reported count data as well as for (overdispersed) Poisson, negative binomal and binomial logit regression models using spike and slab priors.
| Version: | 1.3.0 |
| Depends: | R (≥ 2.10.0) |
| Imports: | ggplot2, logistf, plyr, stats, utils, grDevices |
| Suggests: | COUNT |
| Published: | 2022-05-25 |
| Author: | Michaela Dvorzak [aut, cre], Helga Wagner [aut] |
| Maintainer: | Michaela Dvorzak <m.dvorzak at gmx.at> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Citation: | pogit citation info |
| Materials: | NEWS |
| CRAN checks: | pogit results |
| Reference manual: | pogit.pdf |
| Package source: | pogit_1.3.0.tar.gz |
| Windows binaries: | r-devel: pogit_1.3.0.zip, r-release: pogit_1.3.0.zip, r-oldrel: pogit_1.3.0.zip |
| macOS binaries: | r-release (arm64): pogit_1.3.0.tgz, r-oldrel (arm64): pogit_1.3.0.tgz, r-release (x86_64): pogit_1.3.0.tgz, r-oldrel (x86_64): pogit_1.3.0.tgz |
| Old sources: | pogit archive |
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