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 [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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