The goal of bigimp is to make imputation of large datasets easier. It relies on the R packages mice and VIM to do the hard work. It contains many convenience and addtional functions to randomly subset a large dataset (i.e. of tens of columns and tens of thousands of rows) in order to impute. Functions for pre- and post-imputation diagnostic stats and plots are included.
It's UNDER DEVELOPMENT...
We'll add instructions when ready, you can clone in the meantime.
This is a basic example of how to run things with bigimp:
## basic example code
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Pull requests more than welcome!
If you have any issues, pull requests, etc. please report them in the issue tracker.