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cff-version: 1.2.0
message: 'To cite package "FastSurvival" in publications use:'
type: software
license: MIT
title: 'FastSurvival: Fast Survival Analysis and Simulation for Clinical Trials'
version: 0.2.0
doi: 10.32614/CRAN.package.FastSurvival
abstract: 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()), milestone
  survival comparison (milestone_fast()), the max-combo test (maxcombo_fast()), the
  robust modestly-weighted log-rank test (rmw_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()). 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).
authors:
- family-names: Homma
  given-names: Gosuke
  email: my.name.is.gosuke@gmail.com
repository: https://gosukehommaex.r-universe.dev
repository-code: https://github.com/gosukehommaEX/FastSurvival
commit: 709820712012220fa6bbf10797b9fdf700807dde
url: https://gosukehommaEX.github.io/FastSurvival/
date-released: '2026-06-06'
contact:
- family-names: Homma
  given-names: Gosuke
  email: my.name.is.gosuke@gmail.com