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).
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