Implements a wide range of dose escalation designs. The focus is on model-based 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. Bayesian inference is performed via MCMC sampling in JAGS, and it is easy to setup a new design with custom 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. Further details are presented in Sabanes Bove et al. (2019) <doi:10.18637/jss.v089.i10>.
Package details |
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| Author | Daniel Sabanes Bove [aut, cre], Wai Yin Yeung [aut], Burak Kuersad Guenhan [aut], Giuseppe Palermo [aut], Thomas Jaki [aut], Jiawen Zhu [aut], Ziwei Liao [aut], Dimitris Kontos [aut], Marlene Schulte-Goebel [aut], Doug Kelkhoff [aut] (ORCID: <https://orcid.org/0009-0003-7845-4061>), Oliver Boix [aut], Robert Adams [aut], Clara Beck [aut], John Kirkpatrick [aut], Wojciech Wójciak [aut], Guanya Peng [aut], Prerana Chandratre [aut], F. Hoffmann-La Roche AG [cph, fnd], Merck Healthcare KGaA [cph, fnd], Bayer AG [cph, fnd], RPACT GmbH [cph, fnd] |
| Maintainer | Daniel Sabanes Bove <daniel.sabanes_bove@rconis.com> |
| License | GPL (>= 2) |
| Version | 2.0.0 |
| URL | https://github.com/openpharma/crmPack https://openpharma.github.io/crmPack/ |
| Package repository | View on CRAN |
| Installation |
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