Package: unsurv 0.5.0
unsurv: Unsupervised Clustering of Individualized Survival Curves
Tools for clustering individualized survival curves using the Partitioning Around Medoids (PAM) algorithm, with monotonic enforcement, optional smoothing, weighted distances (L1/L2), automatic K selection via silhouette width, prediction for new curves, basic stability checks, and plotting helpers. The clustering strategy follows Kaufman and Rousseeuw (1990, ISBN:0471878766).
Authors:
unsurv_0.5.0.tar.gz
unsurv_0.5.0.zip(r-4.7-any)unsurv_0.5.0.zip(r-4.6-any)unsurv_0.5.0.zip(r-4.5-any)
unsurv_0.5.0.tgz(r-4.6-any)unsurv_0.5.0.tgz(r-4.5-any)
unsurv_0.5.0.tar.gz(r-4.7-any)unsurv_0.5.0.tar.gz(r-4.6-any)
unsurv_0.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
unsurv/json (API)
| # Install 'unsurv' in R: |
| install.packages('unsurv', repos = c('https://ielbadisy.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ielbadisy/unsurv/issues
Last updated from:3492987bea. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 143 | ||
| source / vignettes | OK | 195 | ||
| linux-release-x86_64 | OK | 140 | ||
| macos-release-arm64 | OK | 134 | ||
| macos-oldrel-arm64 | OK | 128 | ||
| windows-devel | OK | 85 | ||
| windows-release | OK | 92 | ||
| windows-oldrel | OK | 84 | ||
| wasm-release | OK | 99 |
Exports:plot_stabilityunsurvunsurv_stability
Dependencies:cliclustercpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| unsurv: Unsupervised clustering of individualized survival curves | unsurv-package |
| ggplot2 autoplot for unsurv objects | autoplot.unsurv |
| Plot stability distribution | plot_stability |
| Plot medoid survival curves from an unsurv fit | plot.unsurv |
| Predict cluster membership for new survival curves | predict.unsurv |
| Print a summary of an unsurv model | print.summary.unsurv |
| Print an unsurv model | print.unsurv |
| Summarize an unsurv model | summary.unsurv |
| Unsupervised clustering of individualized survival curves | unsurv |
| Stability assessment for an unsurv clustering | unsurv_stability |
