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.
Version: 0.1.6 Depends: R (≥ 3.5.0), methods, Rcpp (≥ 1.0.1) Imports: rstan (≥ 2.18.2), rstantools (≥ 1.5.1), rlang (≥ 0.4.5), dplyr, purrr, magrittr, stringr, ggplot2, gtools, coda, tidybayes (≥ 2.0.3), tibble (≥ 3.0.0), binom, MASS LinkingTo: StanHeaders (≥ 2.18.1), rstan (≥ 2.18.2), BH (≥ 1.69.0-1), Rcpp (≥ 1.0.1), RcppEigen (≥ 0.3.3.5.0), RcppParallel (≥ 5.0.2) Suggests: testthat, knitr, rmarkdown, tidyr, ggridges, DiagrammeR Published: 2023-03-12 DOI: 10.32614/CRAN.package.trialr Author: Kristian Brock [aut, cre], Trustees of Columbia University [cph] Maintainer: Kristian Brock <kristian.brock at gmail.com> BugReports: https://github.com/brockk/trialr/issues License: GPL (≥ 3) URL: https://github.com/brockk/trialr NeedsCompilation: yes SystemRequirements: GNU make Materials: README NEWS CRAN checks: trialr results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=trialr to link to this page.
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