FastSurvival: Fast Survival Analysis and Simulation for Clinical Trials

Provides fast alternatives to standard survival analysis functions in the 'survival' package, together with tools for time-to-event trial simulation and sequential analysis. The estimation and testing functions cover a single-time-point Kaplan-Meier estimator (survfit_fast()), log-rank tests including weighted and stratified variants (survdiff_fast()), a closed-form hazard ratio estimator based on the Pike-Halley Estimator method (coxph_fast()), restricted mean survival time (rmst_fast()), window mean survival time (wmst_fast()), milestone survival comparison (milestone_fast()), median survival time (medsurv_fast()), the max-combo test (maxcombo_fast()), the robust modestly-weighted log-rank test (rmw_fast()), the weighted Kaplan-Meier (Pepe-Fleming) test (wkm_fast()), the average hazard with survival weight (ahsw_fast()), and the Kalbfleisch-Prentice average hazard ratio (ahr_fast()). The simulation layer generates individual patient data (simdata_fast()), performs interim or sequential analyses (analysis_fast()), and aggregates operating characteristics (simsummary_fast()). A visualization layer assembles design-stage scenarios (gen_scenario_fast()) and builds analysis-stage Kaplan-Meier curves (kmcurve_fast()), each with plot and print methods. 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).

Version:	0.2.0
Depends:	R (≥ 4.1.0)
Imports:	graphics, grDevices, stats, dqrng, Rcpp, mvtnorm
LinkingTo:	Rcpp, dqrng
Suggests:	survival, survRM2, survAH, simtrial, gsDesign, rpact, nph, nphRCT, microbenchmark, testthat (≥ 3.0.0), knitr, rmarkdown
Published:	2026-07-27
DOI:	10.32614/CRAN.package.FastSurvival
Author:	Gosuke Homma [aut, cre]
Maintainer:	Gosuke Homma <my.name.is.gosuke at gmail.com>
BugReports:	https://github.com/gosukehommaEX/FastSurvival/issues
License:	MIT + file LICENSE
URL:	https://github.com/gosukehommaEX/FastSurvival, https://gosukehommaEX.github.io/FastSurvival/
NeedsCompilation:	yes
Language:	en-US
Materials:	README, NEWS
CRAN checks:	FastSurvival results

Documentation:

Reference manual:

FastSurvival.html , FastSurvival.pdf

Vignettes:

Introduction to FastSurvival (source, R code) Comparing the log-rank test and RMST under nonproportional hazards (source, R code) Group-sequential design with correlated PFS and OS under the Fleischer model (source, R code) Group sequential design with the simulation trio (source, R code) Investigating the Freidlin and Korn strong null scenario (source, R code) MRCT with complex survival analysis design (source, R code) Multi-arm trials: K-arm generation and pairwise comparisons against a shared control (source, R code) Speed comparison (source, R code) Validation of FastSurvival (source, R code)

Downloads:

Package source:	FastSurvival_0.2.0.tar.gz
Windows binaries:	r-devel: FastSurvival_0.2.0.zip, r-release: FastSurvival_0.2.0.zip, r-oldrel: FastSurvival_0.2.0.zip
macOS binaries:	r-release (arm64): FastSurvival_0.2.0.tgz, r-oldrel (arm64): FastSurvival_0.2.0.tgz, r-release (x86_64): FastSurvival_0.2.0.tgz, r-oldrel (x86_64): FastSurvival_0.2.0.tgz
Old sources:	FastSurvival archive

Linking:

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