Package index

Main functions

MAP.estimation()

Maximum a posteriori estimation

bfi()

Bayesian Federated Inference

inv.prior.cov()

Inverse covariance matrix for a Gaussian prior

summary(<bfi>) print(<summary.bfi>)

Summary of BFI fits

hazards.fun()

Estimated (baseline/cumulative) hazard and (baseline) survival functions

coef(<bfi>) print(<bfi>) vcov(<bfi>)

Methods for local and federated BFI objects

confint(<bfi>)

Approximate posterior credible intervals for BFI models

Supporting functions

surv.simulate()

Survival data simulation with predefined censoring rates

b.diag()

Block diagonal matrix

n.par()

Number of predictors, coefficients, and observations

Data sets

Nurses

Nurses' stress in different hospitals

trauma

Trauma patients from different hospitals

Package

BFI-package

Bayesian Federated Inference