A Batch Process for High Dimensional Imputation

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Documentation for package ‘hdImpute’ version 0.2.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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.