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.
Installation
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")Examples
The package vignettes provide information on various aspects of CRM trial design, implementation, simulation and analysis:
- Trial definition
- Trial analysis
- Sanity checking
- Simulation of operating characteristics
- Ordinal CRM models
- Extending
crmPack - Tidy
crmPackdata - Describing
crmPackobjects in Markdown and Quarto documents - Migration from the old crmPack
- Sabanes Bove et al (2019) Model-based Dose Escalation Designs in R with
crmPack. JSS 89:10 DOI 10.18637/jss.v089.i10