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Bivariate Additive Marginal Regression for Categorical Responses
Description
Fitting bivariate additive marginal regression models
for categorical responses via penalized maximum likelihood estimation.
Details
Package: pblm
Type: Package
Version: 0.1-12
Date: 2025-06-18
License: GPL (>= 2)
It is possible to fit partial proportional odds models and to specify several
parametrizations for the marginals and the association, including the Dale's model.
P-splines can be used to smooth covariates. The association structure can also be
smoothed by polynomial surfaces by using penalty terms.
Author(s)
Marco Enea, with contributions by Mikis Stasinopoulos and Robert Rigby
Maintainer: Marco Enea <marco.enea@unipa.it>
pblm documentation built on June 19, 2025, 5:08 p.m.
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| pblm-package | R Documentation |
Bivariate Additive Marginal Regression for Categorical Responses
Description
Fitting bivariate additive marginal regression models for categorical responses via penalized maximum likelihood estimation.
Details
| Package: | pblm |
| Type: | Package |
| Version: | 0.1-12 |
| Date: | 2025-06-18 |
| License: | GPL (>= 2) |
It is possible to fit partial proportional odds models and to specify several parametrizations for the marginals and the association, including the Dale's model. P-splines can be used to smooth covariates. The association structure can also be smoothed by polynomial surfaces by using penalty terms.
Author(s)
Marco Enea, with contributions by Mikis Stasinopoulos and Robert Rigby
Maintainer: Marco Enea <marco.enea@unipa.it>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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