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.

Package overview README.md BEBOP in PePS2 Continual Reassessment Method CRM Case Study 1 - Levy et al (2006) Dose pathways with CRM EffTox Hierarchical Bayesian Model for Binary Responses Time-to-Event Continual Reassessment Method Two-parameter logistic model for dose-finding by Neuenschwander, Branson & Gsponer Visualisation with CRM

Vignettes Man pages API and functions Files

Package details
Author	Kristian Brock [aut, cre] (<https://orcid.org/0000-0002-3921-0166>), Trustees of Columbia University [cph]
Maintainer	Kristian Brock <kristian.brock@gmail.com>
License	GPL (>= 3)
Version	0.1.6
URL	https://github.com/brockk/trialr
Package repository	View on CRAN
Installation	Install the latest version of this package by entering the following in R: `install.packages("trialr")`