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: <doi:10.48550/arXiv.2210.01668>).
| Version: | 0.9.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | cubicBsplines, Matrix, mgcv, marqLevAlg, sn, MASS, numDeriv, ucminf |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2023-09-14 |
| Author: | Philippe Lambert 
[aut, cre] |
| Maintainer: | Philippe Lambert <p.lambert at uliege.be> |
| BugReports: | https://github.com/plambertULiege/ordgam/issues |
| License: | GPL-3 |
| URL: | <https://github.com/plambertULiege/ordgam> |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | ordgam results |
Documentation:
| Reference manual: | ordgam.pdf |
Downloads:
| Package source: | ordgam_0.9.1.tar.gz |
| Windows binaries: | r-devel: ordgam_0.9.1.zip, r-release: ordgam_0.9.1.zip, r-oldrel: ordgam_0.9.1.zip |
| macOS binaries: | r-release (arm64): ordgam_0.9.1.tgz, r-oldrel (arm64): ordgam_0.9.1.tgz, r-release (x86_64): ordgam_0.9.1.tgz, r-oldrel (x86_64): ordgam_0.9.1.tgz |
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