README.Rmd

# miceVignettes

A detailed series of vignettes that walk you through solving realistic inference problems with [`mice`](https://cran.r-project.org/web/packages/mice/index.html).

We suggest going through these vignettes in the following order

- [1. Ad Hoc methods and the mice algorithm](https://www.gerkovink.com/miceVignettes/Ad_hoc_and_mice/Ad_hoc_methods.html)
- [2. Convergence and pooling](https://www.gerkovink.com/miceVignettes/Convergence_pooling/Convergence_and_pooling.html)
- [3. Inspecting how the observed data and missingness are related](https://www.gerkovink.com/miceVignettes/Missingness_inspection/Missingness_inspection.html)
- [4. Passive imputation and post-processing](https://www.gerkovink.com/miceVignettes/Passive_Post_processing/Passive_imputation_post_processing.html)
- [5. Combining inferences](https://www.gerkovink.com/miceVignettes/Combining_Inferences/Combining_inferences.html)
- [6. Imputing multi-level data](https://www.gerkovink.com/miceVignettes/Multi_level/Multi_level_data.html)
- [7. Sensitivity analysis with mice](https://www.gerkovink.com/miceVignettes/Sensitivity_analysis/Sensitivity_analysis.html)
- [8. `futuremice`: Wrapper for parallel MICE imputation through futures](https://www.gerkovink.com/miceVignettes/futuremice/Vignette_futuremice.html)

---

All the best,

[Gerko](https://www.gerkovink.com) and [Stef](http://www.stefvanbuuren.nl)

---

Useful links:

- [`mice` on CRAN](https://cran.r-project.org/web/packages/mice/index.html)
- [`mice` on GitHub](https://github.com/stefvanbuuren/mice)
- [`mice` in JStatSoft](https://www.jstatsoft.org/article/view/v045i03)
- [`parlMICE` on GitHub](https://github.com/gerkovink/parlMICE) - [vignette](https://www.gerkovink.com/parlMICE/Vignette_parlMICE.html)