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trialr: Clinical Trial Designs in 'rstan'

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 BrockORCID iD [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:

Reference manual:trialr.html ,trialr.pdf
Vignettes:CRM: Continual Reassessment Method (source,R code)
Visualisation with CRM (source,R code)
Dose pathways with CRM (source,R code)
CRM Case Study 1 - Levy et al (2006) (source,R code)
Time-to-Event Continual Reassessment Method (source,R code)
NeuenschwanderBransonGsponer (source,R code)
EffTox (source,R code)
Hierarchical Bayesian Model for Binary Responses (source,R code)
BEBOP: Bayesian Evaluation of Bivariate Binary Outcomes and Predictive Information (source,R code)

Downloads:

Package source: trialr_0.1.6.tar.gz
Windows binaries: r-devel:trialr_0.1.6.zip, r-release:trialr_0.1.6.zip, r-oldrel:trialr_0.1.6.zip
macOS binaries: r-release (arm64):trialr_0.1.6.tgz, r-oldrel (arm64):trialr_0.1.6.tgz, r-release (x86_64):trialr_0.1.6.tgz, r-oldrel (x86_64):trialr_0.1.6.tgz
Old sources: trialr archive

Reverse dependencies:

Reverse imports:brms.mmrm,escalation,historicalborrowlong,networkscaleup,phase12designs,VisCov

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=trialrto link to this page.


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