Question 1

What does the R-package 'hdImpute' do?

Accepted Answer

A Batch Process for High Dimensional Imputation. A correlation-based batch process for fast, accurate imputation for high dimensional missing data problems via chained random forests. See Waggoner (2023) [doi:10.1007/s00180-023-01325-9](https://doi.org/10.1007%2Fs00180-023-01325-9) for more on 'hdImpute', Stekhoven and Bühlmann (2012) [doi:10.1093/bioinformatics/btr597](https://doi.org/10.1093%2Fbioinformatics%2Fbtr597) for more on 'missForest', and Mayer (2022) [https://github.com/mayer79/missRanger](https://github.com/mayer79/missRanger) for more on 'missRanger'.

Question 2

Who maintains hdImpute?

Accepted Answer

Philip Waggoner

Question 3

Who authored hdImpute?

Accepted Answer

Unknown

Question 4

What is the current version of hdImpute?

Accepted Answer

The current version of the R-package '0.2.1' is 0.2.1

Question 5

When was the last release of hdImpute?

Accepted Answer

The last release of the R-package '0.2.1' was 08/07/2023

Question 6

Where can I search for the R-package 'hdImpute'?

Accepted Answer

You can search for the R-package 'hdImpute' on CRAN/E at https://cran-e.com

hdImpute

Documentation

Team

Philip Waggoner

Insights

Last 30 days

Last 365 days

Binaries

Dependencies