Bayesian Federated Inference
Create a Block Diagonal Matrix
Internal BFI Functions
Bayesian Federated Inference
Bayesian Federated Inference
Compute the estimated (baseline/cumulative) hazard and (baseline) surv...
Creates an inverse covariance matrix for a Gaussian prior
Maximum A Posteriori estimation
The Number of Predictors, Coefficients, and Observations
Summarizing BFI Fits
Generate survival data with predefined censoring rates for proportiona...
The Bayesian Federated Inference ('BFI') method combines inference results obtained from local data sets in the separate centers. In this version of the package, the 'BFI' methodology is programmed for linear, logistic and survival regression models. For GLMs, see Jonker, Pazira and Coolen (2024) <doi:10.1002/sim.10072>; for survival models, see Pazira, Massa, Weijers, Coolen and Jonker (2025) <doi:10.48550/arXiv.2404.17464>; and for heterogeneous populations, see Jonker, Pazira and Coolen (2025) <doi:10.1017/rsm.2025.6>.