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
conda install conda-forge::r-missforestconda install conda-forge/label/cf201901::r-missforestconda install conda-forge/label/cf202003::r-missforestconda install conda-forge/label/gcc7::r-missforest