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

On CRAN:

12 exports 0.81 score 19 dependencies 21 scripts 954 downloads

Last updated 1 years agofrom:e98a4d9323. Checks:OK: 3 NOTE: 4. Indexed: yes.

Exports:centeredBasis.genlmarg.gammaTildelpost.gammaordgamordgam_additiveordregrordregr_lpostPcal.funsSNapproxSTapproxtestStat

Dependencies:codetoolscubicBsplinesdoParallelforeachiteratorslatticemarqLevAlgMASSMatrixMatrixModelsmgcvmnormtnlmenumDerivquantregsnSparseMsurvivalucminf