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.