R: A Batch Process for High Dimensional Imputation

# A Batch Process for High Dimensional Imputation

## Documentation for package ‘hdImpute’ version 0.2.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

check_feature_na | Find features with (specified amount of) missingness
check_row_na | Find number of and which rows contain any missingness
feature_cor | High dimensional imputation via batch processed chained random forests Build correlation matrix
flatten_mat | Flatten and arrange cor matrix to be df
hdImpute | Complete hdImpute process: correlation matrix, flatten, rank, create batches, impute, join
impute_batches | Impute batches and return completed data frame
mad | Compute variable-wise mean absolute differences (MAD) between original and imputed dataframes.