The goal of qacMiss is to identify, visualize, and impute missing data in R data frames. Imputation methods include kth nearest neighbor, random forest, and missing value imputation via chained equations (mice).
You can install the development version of qacMiss like so:
if (!require("remotes")){
install.packages("remotes")
}
remotes::install_github("rkabacoff/qacMiss")The following code demonstrates the major functions:
## basic example code
library(qacMiss)
col_miss(mtcars2)
row_miss(mtcars2)
df_imputed <- impute(mtcars2)