Package: ordgam 0.9.1

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>).

Authors:Philippe Lambert [aut, cre]

ordgam_0.9.1.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ordgam/json (API)

# Install 'ordgam' in R:

install.packages('ordgam', repos = c('https://plambertuliege.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/plambertuliege/ordgam/issues

Datasets:

freehmsData - Perception of gay men and lesbians in Wallonia, Belgium.
freehmsDataBE - Perception of gay men and lesbians in Belgium.

On CRAN:

3.02 score 21 scripts 341 downloads 12 exports 19 dependencies

Last updated from:e98a4d9323. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel	NOTE	131
source / vignettes	OK	179
linux-release	NOTE	118
macos-release	NOTE	102
macos-oldrel	NOTE	113
windows-devel	NOTE	95
windows-release	NOTE	88
windows-oldrel	NOTE	65
wasm-release	OK	85

Exports:centeredBasis.gen lmarg.gammaTilde lpost.gamma ordgam ordgam_additive ordregr ordregr_lpost Pcal.fun s SNapprox STapprox testStat

Dependencies:codetools cubicBsplines doParallel foreach iterators lattice marqLevAlg MASS Matrix MatrixModels mgcv mnormt nlme numDeriv quantreg sn SparseM survival ucminf

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Generation of a recentered B-spline basis matrix in additive models	centeredBasis.gen
Perception of gay men and lesbians in Wallonia, Belgium.	freehmsData
Perception of gay men and lesbians in Belgium.	freehmsDataBE
Marginal posterior density function for a remapped non-penalized parameter in an ordgam model	lmarg.gammaTilde
Posterior density function for the non-penalized parameters in an ordgam model	lpost.gamma
Fit of an additive proportional odds model for ordinal data using Laplace approximations and P-splines	ordgam
Compute the additive terms estimated using an 'ordgam' model	ordgam_additive
Object resulting from the fit of an additive proportional odds model using 'ordgam'	ordgam.object
Fit a proportional odds model for ordinal data	ordregr
Log-posterior function for a proportional odds model	ordregr_lpost
Object resulting from the fit of a proportional odds model using 'ordregr'	ordregr.object
Compute the penalty matrix associated to a vector containing fixed (non-penalized) parameters and equal-size sub-vectors of penalized spline parameters	Pcal.fun
Plot the the additive terms in an <ordgam> object with its credible regions	plot.ordgam
Print an 'ordregr' or an 'ordgam' object.	print.ordregr
Skew-Normal approximation to a density evaluated on a sparse grid	SNapprox
Skew-t approximation to a density evaluated on a sparse grid	STapprox