The function 'missForest' in this package is used to impute missing values particularly in the case of mixed-type data. It uses a random forest trained on the observed values of a data matrix to predict the missing values. It can be used to impute continuous and/or categorical data including complex interactions and non-linear relations. It yields an out-of-bag (OOB) imputation error estimate without the need of a test set or elaborate cross-validation. It can be run in parallel to save computation time.
copied from cf-staging / r-missforest| Label | Latest Version |
|---|---|
| main | 1.5 |
| cf201901 | 1.4 |
| cf202003 | 1.4 |
| gcc7 | 1.4 |
