| BFI-package | Bayesian Federated Inference |
| b.diag | Create a 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 | Compute the estimated (baseline/cumulative) hazard and (baseline) survival functions |
| inv.prior.cov | Creates an 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 | Summarizing BFI fits |
| summary | Summarizing BFI fits |
| summary.bfi | Summarizing BFI fits |
| surv.simulate | Generate survival data with predefined censoring rates for proportional hazards models |
| trauma | Trauma patients from different hospitals |
| vcov.bfi | Methods for local and federated BFI objects |