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rMIDAS  

Multiple Imputation with Denoising Autoencoders
View on CRAN: Click here


Download and install rMIDAS package within the R console
Install from CRAN:
install.packages("rMIDAS")

Install from Github:
library("remotes")
install_github("cran/rMIDAS")

Install by package version:
library("remotes")
install_version("rMIDAS", "1.0.0")



Attach the package and use:
library("rMIDAS")
Maintained by
Thomas Robinson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-29
Latest Update: 2023-10-11
Description:
A tool for multiply imputing missing data using 'MIDAS', a deep learning method based on denoising autoencoder neural networks (see Lall and Robinson, 2022; ). 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. For more information see Lall and Robinson (2023) .
How to cite:
Thomas Robinson (2020). rMIDAS: Multiple Imputation with Denoising Autoencoders. R package version 1.0.0, https://cran.r-project.org/web/packages/rMIDAS. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:47), 0.1.0 (2020-09-29 10:10), 0.2.0 (2020-11-02 15:30), 0.3.0 (2021-01-30 06:50), 0.4.0 (2022-02-10 17:10), 0.4.1 (2022-06-20 17:30), 0.4.2 (2023-06-14 00:00), 0.5.0 (2023-08-23 21:20), 1.0.0 (2023-10-11 17:50)
Other packages that cited rMIDAS R package
View rMIDAS citation profile
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Complete documentation for rMIDAS
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