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rMIDAS2  

Multiple Imputation with 'MIDAS2' Denoising Autoencoders
View on CRAN: Click here


Download and install rMIDAS2 package within the R console
Install from CRAN:
install.packages("rMIDAS2")

Install from Github:
library("remotes")
install_github("cran/rMIDAS2")

Install by package version:
library("remotes")
install_version("rMIDAS2", "0.1.1")



Attach the package and use:
library("rMIDAS2")
Maintained by
Thomas Robinson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-12
Latest Update: 2026-03-12
Description:
Fits 'MIDAS' denoising autoencoder models for multiple imputation of missing data, generates multiply-imputed datasets, computes imputation means, and runs Rubin's rules regression analysis. Wraps the 'MIDAS2' 'Python' engine via a local 'FastAPI' server over 'HTTP', so no 'reticulate' dependency is needed at runtime. Methods are described in Lall and Robinson (2022) <doi:10.1017/pan.2020.49> and Lall and Robinson (2023) <doi:10.18637/jss.v107.i09>.
How to cite:
Thomas Robinson (2026). rMIDAS2: Multiple Imputation with 'MIDAS2' Denoising Autoencoders. R package version 0.1.1, https://cran.r-project.org/web/packages/rMIDAS2. Accessed 06 Jun. 2026.
Previous versions and publish date:
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Complete documentation for rMIDAS2
Functions, R codes and Examples using the rMIDAS2 R package
Full rMIDAS2 package functions and examples
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