Bivariate additive categorical regression via penalized maximum likelihood. Under a multinomial framework, the method fits bivariate models where both responses are nominal, ordinal, or a mix of the two. Partial proportional odds models are supported, with flexible (non-)uniform association structures. Various logit types and parametrizations can be specified for both marginals and the association, including Dale’s model. The association structure can be regularized using polynomial-type penalty terms. Additive effects are modeled using P-splines. Standard methods such as summary(), residuals(), and predict() are available.
| Version: | 0.1-12 |
| Depends: | R (≥ 4.4.0), Matrix, lattice, splines, MASS |
| Imports: | methods |
| Published: | 2025-06-19 |
| DOI: | 10.32614/CRAN.package.pblm |
| Author: | Marco Enea [aut, cre, cph], Mikis Stasinopoulos [ctb], Robert Rigby [ctb] |
| Maintainer: | Marco Enea <marco.enea at unipa.it> |
| BugReports: | https://github.com/MarcoEnea/pblm/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/MarcoEnea/pblm |
| NeedsCompilation: | no |
| Citation: | pblm citation info |
| CRAN checks: | pblm results |
| Reference manual: | pblm.html , pblm.pdf |
| Package source: | pblm_0.1-12.tar.gz |
| Windows binaries: | r-devel: pblm_0.1-12.zip, r-release: pblm_0.1-12.zip, r-oldrel: pblm_0.1-12.zip |
| macOS binaries: | r-release (arm64): pblm_0.1-12.tgz, r-oldrel (arm64): pblm_0.1-12.tgz, r-release (x86_64): pblm_0.1-12.tgz, r-oldrel (x86_64): pblm_0.1-12.tgz |
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