Is there a way to deal with missing values for Kruskal-Wallis test, such as multiple imputation instead of just omitting the rows containing NAs? If anyone knows how to do this, please let me know.
I found an R package multkw.m: Multivariate Kruskal-Wallis test with missing data, but it is for older R verions and is no longer supported