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ordgam: Additive Model for Ordinal Data using Laplace P-Splines
Additive proportional odds model for ordinal data using Laplace P-splines. The combination of Laplace approximations and P-splines enable fast and flexible inference in a Bayesian framework. Specific approximations are proposed to account for the asymmetry in the marginal posterior distributions of non-penalized parameters. For more details, see Lambert and Gressani (2023) <doi:10.1177/1471082X231181173> ; Preprint: <arXiv:2210.01668>).
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Package details |
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| Author | Philippe Lambert [aut, cre] (<https://orcid.org/0000-0002-3670-3328>) |
| Maintainer | Philippe Lambert <p.lambert@uliege.be> |
| License | GPL-3 |
| Version | 0.9.1 |
| URL | <https://github.com/plambertULiege/ordgam> |
| Package repository | View on CRAN |
| Installation |
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