| BFI-package | Bayesian Federated Inference |
| b.diag | Block diagonal matrix |
| bfi | Bayesian Federated Inference |
| bfi-methods | Methods for local and federated BFI objects |
| coef.bfi | Methods for local and federated BFI objects |
| confint.bfi | Approximate posterior credible intervals for BFI models |
| hazards.fun | Estimated (baseline/cumulative) hazard and (baseline) survival functions |
| inv.prior.cov | Inverse covariance matrix for a Gaussian prior |
| MAP.estimation | Maximum a posteriori estimation |
| n.par | Number of predictors, coefficients, and observations |
| Nurses | Nurses' stress in different hospitals |
| print.bfi | Methods for local and federated BFI objects |
| print.summary.bfi | Summary of BFI fits |
| summary | Summary of BFI fits |
| summary.bfi | Summary of BFI fits |
| surv.simulate | Survival data simulation with predefined censoring rates |
| trauma | Trauma patients from different hospitals |
| vcov.bfi | Methods for local and federated BFI objects |