rMIDAS: Multiple Imputation with Denoising Autoencoders
A tool for multiply imputing missing data using 'MIDAS', a deep learning method based on denoising autoencoder neural networks. This algorithm offers significant accuracy and efficiency advantages over other multiple imputation strategies, particularly when applied to large datasets with complex features. Alongside interfacing with 'Python' to run the core algorithm, this package contains functions for processing data before and after model training, running imputation model diagnostics, generating multiple completed datasets, and estimating regression models on these datasets.
| Version: | 0.4.1 |
| Depends: | R (≥ 3.6.0), data.table, mltools, reticulate |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2022-06-20 |
| Author: | Thomas Robinson 
[aut, cre, cph],
Ranjit Lall [aut,
cph],
Alex Stenlake [ctb, cph] |
| Maintainer: | Thomas Robinson <ts.robinson1994 at gmail.com> |
| BugReports: | https://github.com/MIDASverse/rMIDAS/issues |
| License: | Apache License (≥ 2.0) |
| URL: | https://github.com/MIDASverse/rMIDAS |
| NeedsCompilation: | no |
| SystemRequirements: | Python (>= 3.7.0) |
| Citation: | rMIDAS citation info |
| Materials: | README NEWS |
| In views: | MissingData |
| CRAN checks: | rMIDAS results |
Documentation:
| Reference manual: | rMIDAS.pdf |
| Vignettes: |
Using custom Python versions Imputing missing data using rMIDAS |
Downloads:
| Package source: | rMIDAS_0.4.1.tar.gz |
| Windows binaries: | r-devel: rMIDAS_0.4.1.zip, r-release: rMIDAS_0.4.1.zip, r-oldrel: rMIDAS_0.4.1.zip |
| macOS binaries: | r-release (arm64): rMIDAS_0.4.1.tgz, r-oldrel (arm64): rMIDAS_0.4.1.tgz, r-release (x86_64): rMIDAS_0.4.1.tgz, r-oldrel (x86_64): rMIDAS_0.4.1.tgz |
| Old sources: | rMIDAS archive |
Linking:
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