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
DOI: 10.32614/CRAN.package.ordgam
Author: Philippe Lambert ORCID iD [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


Reference manual: ordgam.pdf


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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