Package: FastSurvival 0.1.0

Gosuke Homma

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).

Authors:Gosuke Homma [aut, cre]

FastSurvival_0.1.0.tar.gz
FastSurvival_0.1.0.tar.gz(r-4.7-arm64)FastSurvival_0.1.0.tar.gz(r-4.7-x86_64)FastSurvival_0.1.0.tar.gz(r-4.6-arm64)FastSurvival_0.1.0.tar.gz(r-4.6-x86_64)
FastSurvival_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
FastSurvival/json (API)
NEWS

# Install 'FastSurvival' in R:
install.packages('FastSurvival', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/gosukehommaex/fastsurvival/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

2.70 score 3 scripts 4 exports 4 dependencies

Last updated from:797960ded9. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK140
linux-devel-x86_64OK159
source / vignettesOK216
linux-release-arm64OK172
linux-release-x86_64OK150
wasm-releaseOK132

Exports:coxph_fastsimdata_fastsurvdiff_fastsurvfit_fast

Dependencies:BHdqrngRcppsitmo

Introduction to FastSurvival

Rendered fromFastSurvival.Rmdusingknitr::rmarkdownon May 27 2026.

Last update: 2026-05-27
Started: 2026-05-27