Why rMIDAS2? | Installation | Side-by-side comparison | 1. Setup | 2. Data preparation | 3. Training | 4. Generating imputations | 5. Rubin's rules regression | 6. Overimputation diagnostic | 7. Mean imputation (new in rMIDAS2) | 8. Cleanup | Complete migration example | rMIDAS (old) | rMIDAS2 (new) | Quick-reference cheat sheet
Package: rMIDAS2 0.2.0
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>.
Authors:
rMIDAS2_0.2.0.tar.gz
rMIDAS2_0.2.0.zip(r-4.7-any)rMIDAS2_0.2.0.zip(r-4.6-any)rMIDAS2_0.2.0.zip(r-4.5-any)
rMIDAS2_0.2.0.tgz(r-4.6-any)rMIDAS2_0.2.0.tgz(r-4.5-any)
rMIDAS2_0.2.0.tar.gz(r-4.7-any)rMIDAS2_0.2.0.tar.gz(r-4.6-any)
rMIDAS2_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rMIDAS2/json (API)
| # Install 'rMIDAS2' in R: |
| install.packages('rMIDAS2', repos = c('https://tsrobinson.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/midasverse/midas2/issues
Last updated from:8db27f6f7e. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 117 | ||
| source / vignettes | OK | 153 | ||
| linux-release | OK | 142 | ||
| macos-release | OK | 187 | ||
| macos-oldrel | OK | 174 | ||
| windows-devel | OK | 99 | ||
| windows-release | OK | 81 | ||
| windows-oldrel | OK | 74 | ||
| wasm-release | OK | 121 |
Exports:combineensure_serverimp_meaninstall_backendmidasmidas_fitmidas_transformoverimputestart_serverstop_serveruninstall_backendupdate_backend
Dependencies:askpassclicurlgluehttr2lifecyclemagrittropensslprocessxpsR6rlangsysvctrswithr
Migrating from rMIDAS to rMIDAS2
Last update: 2026-09-03
Started: 2026-09-03
Getting Started with rMIDAS2
Overview | 1. A small executable example | 2. Install the Python backend | 3. Create data with missing values | 4. Fit and impute (all-in-one) | 5. Step-by-step workflow | 6. Mean imputation | 7. Rubin's rules regression | 8. Overimputation diagnostic | 9. Stopping the server
Last update: 2026-03-12
Started: 2026-03-12
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Combine results using Rubin's rules | combine |
| Ensure the server is running | ensure_server |
| Compute mean imputation | imp_mean |
| Install the MIDAS2 Python backend | install_backend |
| Multiple imputation (all-in-one) | midas |
| Fit a MIDAS model | midas_fit |
| Generate multiple imputations | midas_transform |
| Overimputation diagnostic | overimpute |
| Start the MIDAS2 API server | start_server |
| Stop the MIDAS2 API server | stop_server |
| Uninstall the MIDAS2 Python backend | uninstall_backend |
| Update the MIDAS2 Python backend | update_backend |