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:
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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
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Last updated 1 years agofrom:e98a4d9323. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 08 2024 |
R-4.5-win | NOTE | Nov 08 2024 |
R-4.5-linux | NOTE | Nov 08 2024 |
R-4.4-win | NOTE | Nov 08 2024 |
R-4.4-mac | NOTE | Nov 08 2024 |
R-4.3-win | OK | Nov 08 2024 |
R-4.3-mac | OK | Nov 08 2024 |
Exports:centeredBasis.genlmarg.gammaTildelpost.gammaordgamordgam_additiveordregrordregr_lpostPcal.funsSNapproxSTapproxtestStat
Dependencies:codetoolscubicBsplinesdoParallelforeachiteratorslatticemarqLevAlgMASSMatrixMatrixModelsmgcvmnormtnlmenumDerivquantregsnSparseMsurvivalucminf