hdImpute

v0.2.1 Changes

• Added citation onLoad message: Waggoner, P. D. (2023). A batch process for high dimensional imputation. Computational Statistics, 1-22. doi:10.1007/s00180-023-01325-9

• Added mad() function for evaluation by computing mean absolute differences between imputations and the original data

• Added unit testing for basic mad() functionality

• Added column-wise and row-wise NA checks for pre- and post- imputation checking:

  • check_feature_na(): find features with (specified amount of) missingness
  • check_row_na(): find number of and which rows contain any missingness

• Added two new vignettes to work examples using the new functions:

  • NA checking
  • MAD score computation

• Cleaned up DESCRIPTION, fixed typos, and other small edits

The latest stable version (v0.1.1) is now available on CRAN.

Minor fixes, edits. Also, includes use of cli for more informative printing during the hdImpute process.