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.
We have not a released version yet, however, you can install the development version of empire:
# install.packages("remotes")
remotes::install_github("davidbiol/empire")Logo design: Maria Camila Vergara Rodríguez. Thank you for such an amazing logo, we appreciate your work.