BFI v2.0.1 (Latest)
- 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 is 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 is updated with several arguments,
i.e., 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.