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>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.9.1 |
rolling linux/jammy R-4.5 | ordgam_0.9.1.tar.gz |
1.9 MiB |
0.9.1 |
rolling linux/noble R-4.5 | ordgam_0.9.1.tar.gz |
1.9 MiB |
0.9.1 |
rolling source/ R- | ordgam_0.9.1.tar.gz |
1.8 MiB |
0.9.1 |
latest linux/jammy R-4.5 | ordgam_0.9.1.tar.gz |
1.9 MiB |
0.9.1 |
latest linux/noble R-4.5 | ordgam_0.9.1.tar.gz |
1.9 MiB |
0.9.1 |
latest source/ R- | ordgam_0.9.1.tar.gz |
1.8 MiB |
0.9.1 |
2026-04-26 source/ R- | ordgam_0.9.1.tar.gz |
1.8 MiB |
0.9.1 |
2026-04-23 source/ R- | ordgam_0.9.1.tar.gz |
1.8 MiB |
0.9.1 |
2026-04-09 windows/windows R-4.5 | ordgam_0.9.1.zip |
1.9 MiB |
0.9.1 |
2025-04-20 source/ R- | ordgam_0.9.1.tar.gz |
1.8 MiB |
Dependencies (latest)
Imports
Suggests
- testthat (>= 3.0.0)