crmPack
knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "README-" )
The goal of crmPack
is to implement a wide range of model-based dose
escalation designs, ranging from classical and modern continual
reassessment methods (CRMs) based on dose-limiting toxicity endpoints to
dual-endpoint designs taking into account a biomarker/efficacy outcome. The
focus is on Bayesian inference, making it very easy to setup a new design
with your own JAGS code. However, it is also possible to implement 3+3
designs for comparison or models with non-Bayesian estimation. The whole
package is written in a modular form in the S4 class system, making it very
flexible for adaptation to new models, escalation or stopping rules.
You can install the development version of crmPack
from GitHub with:
devtools::install_github("openpharma/crmPack")
You can install the stable release version of crmPack
from CRAN with:
install.packages("crmPack")
The package vignettes provide information on various aspects of CRM trial design, implementation, simulation and analysis:
crmPack
crmPack
datacrmPack
objects in Markdown and Quarto documentscrmPack
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