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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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.