NEWS
mifa 0.2.0 (2021-01-22)
- 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
class mifa which has nice summary() and print() 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
mifa 0.1.0