Nothing
crmPack: Object-Oriented Implementation of CRM Designs
Implements 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 its 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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Daniel Sabanes Bove [aut, cre], Wai Yin Yeung [aut], Giuseppe Palermo [aut], Thomas Jaki [aut] |
| Maintainer | Daniel Sabanes Bove <daniel.sabanes_bove@rconis.com> |
| License | GPL (>= 2) |
| Version | 1.0.6 |
| URL | https://github.com/openpharma/crmPack |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the crmPack package in your browser
Any scripts or data that you put into this service are public.
