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pblm  

Bivariate Additive Marginal Regression for Categorical Responses
View on CRAN: Click here


Download and install pblm package within the R console
Install from CRAN:
install.packages("pblm")

Install from Github:
library("remotes")
install_github("cran/pblm")

Install by package version:
library("remotes")
install_version("pblm", "0.1-12")



Attach the package and use:
library("pblm")
Maintained by
Marco Enea
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-06-19
Latest Update: 2025-06-19
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.
How to cite:
Marco Enea (2025). pblm: Bivariate Additive Marginal Regression for Categorical Responses. R package version 0.1-12, https://cran.r-project.org/web/packages/pblm. Accessed 13 Sep. 2026.
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