Package: trialr Version: 0.1.6 Date: 2023-03-11 Title: Clinical Trial Designs in 'rstan' Description: A collection of clinical trial designs and methods, implemented in 'rstan' and R, including: the Continual Reassessment Method by O'Quigley et al. (1990) ; EffTox by Thall & Cook (2004) ; the two-parameter logistic method of Neuenschwander, Branson & Sponer (2008) ; and the Augmented Binary method by Wason & Seaman (2013) ; 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. Authors@R: c( person("Kristian", "Brock", email = "kristian.brock@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-3921-0166")), person("Trustees of", "Columbia University", role = "cph")) Maintainer: Kristian Brock License: GPL (>= 3) Encoding: UTF-8 ByteCompile: true 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) SystemRequirements: GNU make NeedsCompilation: yes RoxygenNote: 7.1.2 VignetteBuilder: knitr URL: https://github.com/brockk/trialr BugReports: https://github.com/brockk/trialr/issues Suggests: testthat, knitr, rmarkdown, tidyr, ggridges, DiagrammeR Packaged: 2026-10-29 11:23:44 UTC; root Author: Kristian Brock [aut, cre] (), Trustees of Columbia University [cph] Config/pak/sysreqs: make Repository: https://cran.r-universe.dev Date/Publication: 2023-03-12 10:00:02 UTC RemoteUrl: https://github.com/cran/trialr RemoteRef: HEAD RemoteSha: a1cf05da8f318ec4a0dcb7f80b3ea3a33eb3abff