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FastSurvival  

Fast Survival Analysis and Simulation for Clinical Trials
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]
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.
Previous versions and publish date:
0.1.0 (2026-05-27 10:40), 0.2.0 (2026-07-27 13:50), 1.0.0 (2026-09-29 15:40), 1.1.0 (2026-10-08 18:40), (2026-10-15 04:40)
Other packages that cited FastSurvival R package
View FastSurvival citation profile
Other R packages that FastSurvival depends, imports, suggests or enhances
Complete documentation for FastSurvival
Functions, R codes and Examples using the FastSurvival R package
Full FastSurvival package functions and examples
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