BFI v3.1.0 (Latest)

• The MAP.estimation function has been revised, and corresponding updates have been made to its documentation and examples.
• This version marks the final contribution of Hassan Pazira as the package maintainer. The new maintainer for future versions is Marianne A. Jonker Marianne.Jonker@radboudumc.nl

BFI v3.0.1

• In this release, the package has been updated to support both observational and randomized trial data for estimating treatment effects using Bayesian Federated ‘Causal’ Inference.

BFI v2.1.0

• In this release, the package has been updated to support a (semi-parametric) Cox model with an ‘unspecified’ baseline hazard, maximizing partial log-likelihood.
• The documentation and examples have been updated.

BFI v2.0.1

• This is a bugfix release to resolve a minor bug in the optim function entries related to the gaussian family.

BFI v2.0.0

• The package now supports survival data analysis, adding comprehensive tools for time-to-event modeling alongside existing GLM functionalities.
• The documentation and examples have been updated.

BFI v1.1.4

• The package has been updated to address a few NOTEs identified during the CRAN submission.

BFI v1.1.1

• The package was prepared for submission to CRAN with minor modifications.

BFI v1.1.0

• The functions inv.prior.cov() and bfi() were adapted when there is a center specific variable.
• The function summary() was updated to be used in the case of stratification.
• The manual pdf was updated in the case of center specific variable.
• Henceforth the BFI package can be called from Python.
• A vignette was also added to the package for calling BFI from Python.

BFI v1.0.0

• In this release, the package website was built using the pkgdown package.
• Most of the functions were adapted with extra arguments in the case of stratification.
• The manual pdf was also updated.

BFI v0.6.4

• The manual pdf was updated.
• This is also a bugfix release to resolve one minor bug.

BFI v0.6.3

• In this release, the package was updated so that the outputs of inv.prior.cov() and MAP.estimation() (for different centers) have the same dimensions when intercept=FALSE to be used in bfi().
• Moreover, one argument in bfi(), i.e., const_var, is added to the package to handle the constant variables.
• This is a bugfix release to resolve one minor bug as well.

BFI v0.5.2

• In this release, the summary function (a S3 method for class bfi) was added to the package.
• A package pdf manual was created for the package.

BFI v0.4.2

• In this release, the package was updated with several arguments, e.g., an intercept should be fitted or not.
• A vignette is added to the package as well.

BFI v0.3.2

• In this release, the package can carry out the stratified analysis.

BFI v0.2.2

• This is a bugfix release to resolve one minor bug, and add two functions related to building Gamma matrix.
• Moreover, the package now handles the categorical covariates with more than two levels.