rMIDAS2-package: rMIDAS2: Multiple Imputation with 'MIDAS2' Denoising...

In rMIDAS2: Multiple Imputation with 'MIDAS2' Denoising Autoencoders

rMIDAS2: Multiple Imputation with 'MIDAS2' Denoising Autoencoders

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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1017/pan.2020.49")} and Lall and Robinson (2023) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v107.i09")}.

Author(s)

Maintainer: Thomas Robinson [e-mail]

Authors:

• Ranjit Lall [e-mail]

See Also

Useful links:

• https://github.com/MIDASverse/MIDAS2

• Report bugs at https://github.com/MIDASverse/MIDAS2/issues

rMIDAS2 documentation built on March 12, 2026, 9:07 a.m.