rMIDAS2: Multiple Imputation with 'MIDAS2' Denoising Autoencoders

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>.

Version:	0.1.1
Depends:	R (≥ 4.1.0)
Imports:	curl, httr2 (≥ 1.0.0), processx (≥ 3.8.0), rlang (≥ 1.1.0)
Suggests:	arrow, jsonlite, reticulate, testthat (≥ 3.0.0), knitr, rmarkdown
Published:	2026-03-12
DOI:	10.32614/CRAN.package.rMIDAS2 (may not be active yet)
Author:	Thomas Robinson [aut, cre], Ranjit Lall [aut]
Maintainer:	Thomas Robinson <t.robinson7 at lse.ac.uk>
BugReports:	https://github.com/MIDASverse/MIDAS2/issues
License:	MIT + file LICENSE
URL:	https://github.com/MIDASverse/MIDAS2
NeedsCompilation:	no
SystemRequirements:	Python (>= 3.9) with the 'midasverse-midas-api' package
Materials:	NEWS
CRAN checks:	rMIDAS2 results

Documentation:

Reference manual:	rMIDAS2.html , rMIDAS2.pdf
Vignettes:	Getting Started with rMIDAS2 (source, R code)

Downloads:

Package source:	rMIDAS2_0.1.1.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: rMIDAS2_0.1.1.zip
macOS binaries:	r-release (arm64): rMIDAS2_0.1.1.tgz, r-oldrel (arm64): rMIDAS2_0.1.1.tgz, r-release (x86_64): rMIDAS2_0.1.1.tgz, r-oldrel (x86_64): rMIDAS2_0.1.1.tgz

Linking:

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