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FastSurvival
View on CRAN: Click
here
Download and install FastSurvival package within the R console
Install from CRAN:
install.packages("FastSurvival")
Install from Github:
library("remotes")
install_github("cran/FastSurvival") Install by package version:
library("remotes")
install_version("FastSurvival", "0.2.0") Attach the package and use:
library("FastSurvival")
Maintained by
Gosuke Homma
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-27
Latest Update: 2026-05-27
Description:
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).
How to cite:
Gosuke Homma (2026). FastSurvival: Fast Survival Analysis and Simulation for Clinical Trials. R package version 0.2.0, https://cran.r-project.org/web/packages/FastSurvival. Accessed 25 Oct. 2026.
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