Package: FastSurvival
Type: Package
Title: Fast Survival Analysis and Simulation for Clinical Trials
Version: 1.2.0
Authors@R: person(
    given  = "Gosuke",
    family = "Homma",
    role   = c("aut", "cre"),
    email  = "my.name.is.gosuke@gmail.com"
  )
Description: 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()). Besides vectors, these functions accept a
        model formula with a data frame, and their results can be
        returned as data frames. The simulation layer generates
        individual patient data (simdata_fast()), determines the
        calendar time of each analysis from combined event and
        calendar-time rules (cutoff_fast()), performs interim or
        sequential analyses (analysis_fast()), compares several
        experimental arms with a shared control (pairwise_fast()),
        applies treatment switching at progression or after an interim
        analysis (switch_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:9781439856789).
License: MIT + file LICENSE
URL: https://github.com/gosukehommaEX/FastSurvival,
        https://gosukehommaEX.github.io/FastSurvival/
BugReports: https://github.com/gosukehommaEX/FastSurvival/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: graphics, grDevices, stats, dqrng (>= 0.4.0), Rcpp, mvtnorm
LinkingTo: Rcpp, dqrng (>= 0.4.0)
Suggests: survival, survRM2, survAH, simtrial, gsDesign, nph, nphRCT,
        rpsftm, microbenchmark, testthat (>= 3.0.0), knitr, rmarkdown
Config/testthat/edition: 3
Config/roxygen2/version: 8.0.0
VignetteBuilder: knitr
Repository: https://gosukehommaex.r-universe.dev
Date/Publication: 2026-10-16 08:36:49 UTC
RemoteUrl: https://github.com/gosukehommaex/fastsurvival
RemoteRef: HEAD
RemoteSha: de4f0576a93447dc8bea9bf8f02d3203bc37fc2f
NeedsCompilation: yes
Packaged: 2026-10-16 12:40:46 UTC; root
Author: Gosuke Homma [aut, cre]
Maintainer: Gosuke Homma <my.name.is.gosuke@gmail.com>