Chapter 4 Missingness in time: speaking the language of data
Can missing values methods speak the language of data, to go beyond the probabilistic taxonomy, MCAR, MAR, MNAR? Yes they can! A suite of exploratory methods and imputation choices for tidy missing data analysis have been developed, for example the naniar R package, which fit neatly into a tidy data workflow. However, temporal data is left behind. This work will present exploratory and explanatory tools for temporal missing, equipped with a new data-centric taxonomy. How to assess results of imputation techniques will be discussed in turn. Tools to facilitate the process will be available in the R package called mists.