Releases: pdwaggoner/hdImpute
Releases · pdwaggoner/hdImpute
v0.2.1 of `hdImpute` on CRAN
v0.2.1 Changes
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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
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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) missingnesscheck_row_na()
: find number of and which rows contain any missingness
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Added two new vignettes to work examples using the new functions:
- NA checking
- MAD score computation
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Cleaned up
DESCRIPTION
, fixed typos, and other small edits
v0.1.1 of `hdImpute` on CRAN
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.