Changes in version 0.2.1 (2025-05-10)                  

  - Update cross-references to mice package in documentation to comply
    with new CRAN checks
  - Update example code and links in README
  - Remove unnecessary "LazyData" key from DESCRIPTION to remove CRAN
    check Note

                 Changes in version 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

                        Changes in version 0.1.0                        

  - 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