README.md
In EpiCompBio/bigimp: Make imputation of large datasets easier
bigimp
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...
Installation
We'll add instructions when ready, you can clone in the meantime.
Example
This is a basic example of how to run things with bigimp:
## basic example code
Contribute
-
-
Pull requests more than welcome!
Support
If you have any issues, pull requests, etc. please report them in the issue tracker.
EpiCompBio/bigimp documentation built on July 6, 2019, 11:39 a.m.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
bigimp
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...
Installation
We'll add instructions when ready, you can clone in the meantime.
Example
This is a basic example of how to run things with bigimp:
## basic example code
Contribute
-
Pull requests more than welcome!
Support
If you have any issues, pull requests, etc. please report them in the issue tracker.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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