Package: BayesianPlatformDesignTimeTrend
Title: Simulate and Analyse Bayesian Platform Trial with Time Trend
Version: 1.2.0
Author: Ziyan Wang [aut, cre], David Woods [ctb]
Maintainer: Ziyan Wang <zw7g20@soton.ac.uk>
Authors@R: 
	c(person(given = "Ziyan",
           family = "Wang",
           role = c("aut", "cre"),
           email = "zw7g20@soton.ac.uk"),
  	person(given = "David",
           family = "Woods",
           role = c("ctb"),
           email = "D.Woods@southampton.ac.uk"))
Description: Simulating the sequential multi-arm multi-stage or
        platform trial with Bayesian approach using the 'rstan'
        package, which provides the R interface for the Stan. This
        package supports fixed ratio and Bayesian adaptive
        randomization approaches for randomization. Additionally, it
        allows for the study of time trend problems in platform trials.
        There are demos available for a multi-arm multi-stage trial
        with two different null scenarios, as well as for Bayesian
        trial cutoff screening. The Bayesian adaptive randomisation
        approaches are described in: Trippa et al. (2012)
        <doi:10.1200/JCO.2011.39.8420> and Wathen et al. (2017)
        <doi:10.1177/1740774517692302>. The randomisation algorithm is
        described in: Zhao W <doi:10.1016/j.cct.2015.06.008>. The
        analysis methods of time trend effect in platform trial are
        described in: Saville et al. (2022)
        <doi:10.1177/17407745221112013> and Bofill Roig et al. (2022)
        <doi:10.1186/s12874-022-01683-w>.
URL: https://github.com/ZXW834/BayesianPlatformDesignTimeTrend
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Biarch: true
Depends: R (>= 4.0.0), rstan (>= 2.26.1)
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstantools
        (>= 2.3.0), ggplot2 (>= 3.4.0), doParallel (>= 1.0.17), boot
        (>= 1.3-28), matrixStats (>= 0.61.0), stringr (>= 1.4.0),
        foreach (>= 1.5.1), iterators (>= 1.0.13), reshape (>= 0.8.8),
        BiocManager (>= 1.30.19), lhs (>= 1.1.6), laGP (>= 1.5-9),
        RColorBrewer (>= 1.1-3), directlabels (>= 2023.8.25), ggpubr
        (>= 0.4.0), reshape2 (>= 1.4.4)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0),
        RcppParallel (>= 5.0.1), StanHeaders (>= 2.26.0), rstan (>=
        2.26.1)
SystemRequirements: GNU make, C++17
License: MIT + file LICENSE
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
LazyData: true
Config/pak/sysreqs: cmake make libicu-dev
Repository: https://zxw834.r-universe.dev
Date/Publication: 2023-10-04 07:59:37 UTC
RemoteUrl: https://github.com/zxw834/bayesianplatformdesigntimetrend
RemoteRef: HEAD
RemoteSha: 5a86705bb64931b496b973cd456af43a9e2d12f3
NeedsCompilation: yes
Packaged: 2026-10-06 09:34:25 UTC; root
Built: R 4.6.0; wasm32-unknown-emscripten; 2026-10-06 09:39:17 UTC; unix
