- Major code refactoring for readability and maintainability
- Vastly improved function signatures (breaking changes to v0.1.0)
- Added argument checks for all user-facing functions
- Add
cov_vars
argument for selecting variables to use for for imputations but not for covariance matrix - Complete control over
mice()
via...
arguments - Better function returns, e.g. main function now returns an
S3
object of classmifa
which has nicesummary()
andprint()
generics - Much improved documentation and examples
- Added a
README.md
with installation and usage instructions - Added a
{pkgdown}
site at https://teebusch.github.io/mifa/ - Added a
NEWS.md
file to track changes to the package. - Remove unused dependencies
- Added continuous integration and unit tests
- Initial release, accompanying the paper in Behavioral Research Methods (link)
- mifa 0.1.0 was originally released at https://github.com/vahidnassiri/mifa/ but this repository appears to have been abandoned