NEWS.md

In rMIDAS2: Multiple Imputation with 'MIDAS2' Denoising Autoencoders

rMIDAS2 0.1.0

• Initial CRAN release.

Exported functions

Server management

• start_server(): Launch the MIDAS2 Python API server.
• stop_server(): Stop the running server.
• ensure_server(): Start the server if it is not already running.

Imputation

• midas_fit(): Fit a MIDAS denoising autoencoder model.
• midas_transform(): Generate multiple imputations from a fitted model.
• midas(): All-in-one fit + transform convenience function.
• imp_mean(): Compute element-wise mean across imputations.

Analysis

• combine(): Run Rubin's rules regression across imputations.

Diagnostics

• overimpute(): Overimputation diagnostic (mask-and-reimpute RMSE).

Installation

• install_backend(): Install the Python backend into an isolated environment.

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