Overview | Single imputation | A note on complete() | Multiple imputation | Per-column adaptive tuning | Why this matters for larger data | Options at a glance
Package: missknn 1.0.0
missknn: Fast Masked K-Nearest Neighbor Imputation
Fast masked KNN imputation for tabular data with support for single and multiple imputation.
Authors:
missknn_1.0.0.tar.gz
missknn_1.0.0.zip(r-4.7-x86_64)missknn_1.0.0.zip(r-4.6-x86_64)missknn_1.0.0.zip(r-4.5-x86_64)
missknn_1.0.0.tgz(r-4.6-x86_64)missknn_1.0.0.tgz(r-4.6-arm64)missknn_1.0.0.tgz(r-4.5-x86_64)missknn_1.0.0.tgz(r-4.5-arm64)
missknn_1.0.0.tar.gz(r-4.7-arm64)missknn_1.0.0.tar.gz(r-4.7-x86_64)missknn_1.0.0.tar.gz(r-4.6-arm64)missknn_1.0.0.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
missknn/json (API)
| # Install 'missknn' in R: |
| install.packages('missknn', repos = c('https://ielbadisy.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ielbadisy/missknn/issues
big-dataimputationknnmissing-datarcppparallelcpp
Last updated from:62c5a7cd20. Checks:12 OK, 1 FAIL. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 195 | ||
| linux-devel-x86_64 | OK | 192 | ||
| source / vignettes | OK | 280 | ||
| linux-release-arm64 | OK | 160 | ||
| linux-release-x86_64 | OK | 190 | ||
| macos-release-arm64 | OK | 107 | ||
| macos-release-x86_64 | OK | 291 | ||
| macos-oldrel-arm64 | OK | 102 | ||
| macos-oldrel-x86_64 | OK | 279 | ||
| windows-devel-x86_64 | OK | 132 | ||
| windows-release-x86_64 | OK | 269 | ||
| windows-oldrel-x86_64 | OK | 140 | ||
| wasm-release | FAIL | 168 |
Exports:completemissknnprint.missknnsummary.missknn
Dependencies:data.tableRcppRcppParallel
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Complete a missknn object | complete complete.missknn |
| Fast masked KNN imputation | missknn print.missknn print.summary.missknn summary.missknn |
