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r-trialr 0.1.6
Propagated dependencies: r-tidybayes@3.0.7 r-tibble@3.2.1 r-stringr@1.5.1 r-stanheaders@2.32.10 r-rstantools@2.4.0 r-rstan@2.32.6 r-rlang@1.1.4 r-rcppparallel@5.1.9 r-rcppeigen@0.3.4.0.2 r-rcpp@1.0.13-1 r-purrr@1.0.2 r-mass@7.3-61 r-magrittr@2.0.3 r-gtools@3.9.5 r-ggplot2@3.5.1 r-dplyr@1.1.4 r-coda@0.19-4.1 r-binom@1.1-1.1 r-bh@1.84.0-0
Channel: guix-cran
Location: guix-cran/packages/t.scm (guix-cran packages t)
Home page: https://github.com/brockk/trialr
Licenses: GPL 3+
Synopsis: Clinical Trial Designs in 'rstan'
Description:

This package provides a collection of clinical trial designs and methods, implemented in rstan and R, including: the Continual Reassessment Method by O'Quigley et al. (1990) <doi:10.2307/2531628>; EffTox by Thall & Cook (2004) <doi:10.1111/j.0006-341X.2004.00218.x>; the two-parameter logistic method of Neuenschwander, Branson & Sponer (2008) <doi:10.1002/sim.3230>; and the Augmented Binary method by Wason & Seaman (2013) <doi:10.1002/sim.5867>; and more. We provide functions to aid model-fitting and analysis. The rstan implementations may also serve as a cookbook to anyone looking to extend or embellish these models. We hope that this package encourages the use of Bayesian methods in clinical trials. There is a preponderance of early phase trial designs because this is where Bayesian methods are used most. If there is a method you would like implemented, please get in touch.

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