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.
|Author||Daniel Sabanes Bove <[email protected]>, Wai Yin Yeung <[email protected]>, Giuseppe Palermo <[email protected]>, Thomas Jaki <[email protected]>|
|Date of publication||2018-02-15 23:04:23 UTC|
|Maintainer||Daniel Sabanes Bove <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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