empire is an R package that provides a set of functions to handle missing values, since intransitive imputation (impute_mean, impute_median), to transitive imputation like multiple linear regressions (estimate_mlr) and applying Ridge penalization (estimate_ridge).
There are also some descriptive functions for a better understanding of your data set. For example, count_miss gives you the number of missing values in your data. pos_miss gives you the position of the missing values inside your data set.
At last, but not least important, there are some useful functions to simulate data that can be used to look for the effects of missing values in a data set. For example, sim_distr is an amazing function that can simulate data variables with the distribution you want.
Installation
We have not a released version yet, however, you can install the development version of empire:
# install.packages("remotes")
remotes::install_github("davidbiol/empire")Acknowledgement
Logo design: Maria Camila Vergara Rodríguez. Thank you for such an amazing logo, we appreciate your work.
