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]

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ordgam.pdf |ordgam.html✨
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 545 downloads 12 exports 19 dependencies

Last updated 1 years agofrom:e98a4d9323. Checks:3 OK, 5 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 06 2025
R-4.5-winNOTEFeb 06 2025
R-4.5-macNOTEFeb 06 2025
R-4.5-linuxNOTEFeb 06 2025
R-4.4-winNOTEFeb 06 2025
R-4.4-macNOTEFeb 06 2025
R-4.3-winOKFeb 06 2025
R-4.3-macOKFeb 06 2025

Exports:centeredBasis.genlmarg.gammaTildelpost.gammaordgamordgam_additiveordregrordregr_lpostPcal.funsSNapproxSTapproxtestStat

Dependencies:codetoolscubicBsplinesdoParallelforeachiteratorslatticemarqLevAlgMASSMatrixMatrixModelsmgcvmnormtnlmenumDerivquantregsnSparseMsurvivalucminf