A resource website on missing values - Methods and references for managing missing data


This website provides the main methods, references and implementations (in R and python) for managing missing data, whether to impute, estimate or predict.
Click here for the article introducing this project.

If you are a user, you will find the main methods available depending on the nature of your data sets; courses on missing data and pipelines of analyses will help you to determine which method is most suitable for your analysis.
If you are a researcher, you will be able to find datasets and how to simulate missing data, but also find templates to compare your method to existing methods.
This website is proudly sponsored by R Consortium and maintained by Julie Josse, Imke Mayer, Aude Sportisse, Nicholas Tierney and Nathalie Vialaneix.