Package: pblm
Type: Package
Title: Bivariate Additive Marginal Regression for Categorical Responses
Version: 0.1-12
Date: 2025-06-18
Authors@R: c(person("Marco", "Enea",
                      email="marco.enea@unipa.it",
	              role=c("aut", "cre", "cph")),
             person("Mikis", "Stasinopoulos", role=c("ctb")),
             person("Robert", "Rigby", role=c("ctb")))
Author: Marco Enea [aut, cre, cph],
  Mikis Stasinopoulos [ctb],
  Robert Rigby [ctb]
Maintainer: Marco Enea <marco.enea@unipa.it>
Depends: R (>= 4.4.0), Matrix, lattice, splines, MASS
Imports: methods
Description: 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.   
License: GPL (>= 2)
LazyData: TRUE
Encoding: UTF-8
NeedsCompilation: no
URL: https://github.com/MarcoEnea/pblm
BugReports: https://github.com/MarcoEnea/pblm/issues
Packaged: 2025-06-18 13:54:07 UTC; marcoenea
Repository: CRAN
Date/Publication: 2025-06-19 15:20:06 UTC
Built: R 4.6.0; ; 2026-04-27 11:29:44 UTC; unix
