mifa 0.2.0
- 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