rMIDAS2
Multiple Imputation with 'MIDAS2' Denoising Autoencoders
v0.1.1
·
Mar 12, 2026
·
MIT + file LICENSE
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>.
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0.1.1
Mar 12, 2026