Installation
About
Generalized additive model selection via approximate Bayesian inference is provided. Bayesian mixed model-based penalized splines with spike-and-slab-type coefficient prior distributions are used to facilitate fitting and selection. The approximate Bayesian inference engine options are: (1) Markov chain Monte Carlo and (2) mean field variational Bayes. Markov chain Monte Carlo has better Bayesian inferential accuracy, but requires a longer run-time. Mean field variational Bayes is faster, but less accurate. The methodology is described in He and Wand (2023)
Key Metrics
Downloads
Yesterday | 5 0% |
Last 7 days | 46 -48% |
Last 30 days | 215 -11% |
Last 90 days | 662 -26% |
Last 365 days | 3.009 +13% |