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imputeMissings

Impute Missing Values in a Predictive Context

v0.0.4 · Aug 30, 2024 · GPL (>= 2)

Description

Compute missing values on a training data set and impute them on a new data set. Current available options are median/mode and random forest.

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CRAN Check Status

14 OK
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Flavor Status
r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies randomForest imputeMissings

Version History

new 0.0.4 Mar 10, 2026
updated 0.0.4 ← 0.0.3 diff Aug 29, 2024
updated 0.0.3 ← 0.0.1 diff Sep 5, 2016
new 0.0.1 Oct 1, 2015