In Orion-Corporation/barts: Bayesian Adaptive Rules for Treatment Selection

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

barts

barts is a companion package to Arjas & Gasbarra (2021). The package implements a number of treatment allocation and selection rules for use in clinical trials, and provides a mechanism to simulate trials to evaluate operating characteristics. Currently, barts only supports binary data with Beta-priors.

Installation

barts is not (yet) available on CRAN. You can install the current development version with:

# install.packages("remotes")
remotes::install_github("Orion-Corporation/barts")

Example

Simulating a single study is done in two phases: first define the study phases, then generate realisations with simulate_study(). A simple plotting method is provided for a quick overview of the results of a single realization.

library(barts)
set.seed(42)

study <- single_phase_study(n = 240, rule = rule_1(epsilon = 0.1))
result <- simulate_study(study, a = 1, b = 1, theta = 0.2 + 1:4 / 10)

plot(result)