Package index • BFI

Main functions

MAP.estimation(): Maximum A Posteriori estimation
bfi(): Bayesian Federated Inference
inv.prior.cov(): Creates an inverse covariance matrix for a Gaussian prior
summary(<bfi>): Summarizing BFI Fits
hazards.fun(): Compute the estimated (baseline/cumulative) hazard and (baseline) survival functions
coef(<bfi>) print(<bfi>) vcov(<bfi>): Methods for objects of class "bfi"

Supporting functions

surv.simulate(): Generate survival data with predefined censoring rates for proportional hazards models
b.diag(): Create a Block Diagonal Matrix
n.par(): The 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