FastSurvival
Fast Kaplan-Meier, Log-Rank, and Hazard Ratio Estimation for Survival Analysis
Provides fast alternatives to standard survival analysis functions in the 'survival' package. The package implements a single-time-point Kaplan-Meier estimator (survfit_fast()), a log-rank test (survdiff_fast()), a closed-form hazard ratio estimator based on the Pike-Halley Estimator method (coxph_fast()), and a clinical trial data simulator (simdata_fast()). All functions are designed for repeated evaluation inside large simulation loops, such as adaptive sample-size re-estimation, probability-of-success calculations, and regional consistency evaluation in multi-regional trials. Core computations are implemented in 'C++' via 'Rcpp' for maximum performance. Methodological background is described in Collett (2014, ISBN:9780429196294).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | FastSurvival_0.1.0.tar.gz |
155.2 KiB |
0.1.0 |
rolling linux/noble R-4.5 | FastSurvival_0.1.0.tar.gz |
156.9 KiB |
0.1.0 |
rolling source/ R- | FastSurvival_0.1.0.tar.gz |
52.1 KiB |
0.1.0 |
latest linux/jammy R-4.5 | FastSurvival_0.1.0.tar.gz |
155.2 KiB |
0.1.0 |
latest linux/noble R-4.5 | FastSurvival_0.1.0.tar.gz |
156.9 KiB |
0.1.0 |
latest source/ R- | FastSurvival_0.1.0.tar.gz |
52.1 KiB |
0.1.0 |
2026-04-23 source/ R- | FastSurvival_0.1.0.tar.gz |
0 B |