data imputation multivariate imputation with chained equations multivariate imputation with chained equations (MICE) is a type of data imputation which uses an algorithm devised by Stef van Buuren and Karin Groothuis-Oudshoorn Philippe Rocca-Serra MICE library(mice) miceMod <- mice(BostonHousing[, !names(BostonHousing) %in% "medv"], method="rf") # perform mice imputation, based on random forests. MICE: Multivariate Imputation by Chained Equations in R by Stef van Buuren and Karin Groothuis-Oudshoorn. Journal of Statistical Software, http://www.stefvanbuuren.nl/publications/mice%20in%20r%20-%20draft.pdf https://www.r-bloggers.com/imputing-missing-data-with-r-mice-package/ ready for release