Man pages for unsurv
Unsupervised Clustering of Individualized Survival Curves
| autoplot.unsurv | ggplot2 autoplot for unsurv objects |
| autoplot.unsurv_compare | Kaplan-Meier plot for a partition comparison |
| dot-ari | Adjusted Rand Index (ARI) |
| dot-build_dist | Build a distance object from features |
| dot-check_inputs | Validate inputs for unsurv |
| dot-cluster_stability | Resampling-based stability assessment using ARI |
| dot-enforce_monotone | Enforce non-increasing survival curves over time |
| dot-km_cluster_medians | Per-cluster Kaplan-Meier median survival |
| dot-smooth_median | Median smooth survival curves along the time axis |
| dot-trap_weights | Trapezoidal weights on a time grid |
| dot-weight_features | Apply time-point weights to curve features |
| plot_stability | Plot stability distribution |
| plot_surv_medoids | Plot medoid curves with ggplot2 (internal helper) |
| plot_surv_samples | Plot individual curves with ggplot2 (internal helper) |
| plot.unsurv | Plot medoid survival curves from an unsurv fit |
| predict.unsurv | Predict cluster membership for new survival curves |
| print.summary.unsurv | Print a summary of an unsurv model |
| print.unsurv | Print an unsurv model |
| print.unsurv_compare | Print a partition comparison |
| summary.unsurv | Summarize an unsurv model |
| unsurv | Unsupervised clustering of individualized survival curves |
| unsurv_compare | Compare cluster partitions against observed survival outcomes |
| unsurv-package | unsurv: Unsupervised clustering of individualized survival... |
| unsurv_stability | Stability assessment for an unsurv clustering |
