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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

• 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

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.