miceVignettes

A detailed series of vignettes that walk you through solving realistic inference problems with mice.

We suggest going through these vignettes in the following order

• 1. Ad Hoc methods and the mice algorithm
• 2. Convergence and pooling
• 3. Inspecting how the observed data and missingness are related
• 4. Passive imputation and post-processing
• 5. Combining inferences
• 6. Imputing multi-level data
• 7. Sensitivity analysis with mice
• 8. futuremice: Wrapper for parallel mice imputation through futures
• 9. Multivariate PMM for imputing multiple columns simultaneously
• 10. Generating synthetic data with high utility using mice
• 11. Imputation Models in mice

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All the best,

The mice team

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Useful links:

• mice on CRAN
• mice on GitHub
• mice in JStatSoft
• parlMICE on GitHub - vignette

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