Package: rMIDAS 0.5.0

Thomas Robinson

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.

Authors:Thomas Robinson [aut, cre, cph], Ranjit Lall [aut, cph], Alex Stenlake [ctb, cph], Elviss Dvinskis [ctb]

rMIDAS_0.5.0.tar.gz
rMIDAS_0.5.0.zip(r-4.5)rMIDAS_0.5.0.zip(r-4.4)rMIDAS_0.5.0.zip(r-4.3)
rMIDAS_0.5.0.tgz(r-4.5-any)rMIDAS_0.5.0.tgz(r-4.4-any)rMIDAS_0.5.0.tgz(r-4.3-any)
rMIDAS_0.5.0.tar.gz(r-4.5-noble)rMIDAS_0.5.0.tar.gz(r-4.4-noble)
rMIDAS_0.5.0.tgz(r-4.4-emscripten)rMIDAS_0.5.0.tgz(r-4.3-emscripten)
rMIDAS.pdf |rMIDAS.html
rMIDAS/json (API)
NEWS

# Install 'rMIDAS' in R:
install.packages('rMIDAS', repos = c('https://midasverse.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/midasverse/rmidas/issues

On CRAN:

Conda:

deep-learningimputation-methodsneural-networkreticulatetensorflow

6.53 score 34 stars 33 scripts 301 downloads 14 exports 14 dependencies

Last updated 1 years agofrom:a53fddfed2. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 17 2025
R-4.5-winOKMar 17 2025
R-4.5-macOKMar 17 2025
R-4.5-linuxOKMar 17 2025
R-4.4-winOKMar 17 2025
R-4.4-macOKMar 17 2025
R-4.4-linuxOKMar 17 2025
R-4.3-winOKMar 17 2025
R-4.3-macOKMar 17 2025

Exports:add_bin_labelsadd_missingnesscol_minmaxcombinecompleteconvertdelete_rMIDAS_envmidas_setupna_to_nanoverimputereset_rMIDAS_envset_python_envtrainundo_minmax

Dependencies:data.tableherejsonlitelatticeMatrixmltoolspngrappdirsRcppRcppTOMLreticulaterlangrprojrootwithr

Imputing missing data using rMIDAS

Rendered fromimputation_demo.Rmdusingknitr::rmarkdownon Mar 17 2025.

Last update: 2023-08-16
Started: 2020-11-02

Running rMIDAS on a server instance

Rendered fromuse-server.Rmdusingknitr::rmarkdownon Mar 17 2025.

Last update: 2023-06-13
Started: 2022-06-25

Using custom Python versions

Rendered fromcustom_python_versions.Rmdusingknitr::rmarkdownon Mar 17 2025.

Last update: 2023-08-16
Started: 2020-11-02