crmPack
Object-Oriented Implementation of Dose Escalation Designs
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 Sabanés Bové et al. (2019) <doi:10.18637/jss.v089.i10>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.1.0 |
rolling linux/jammy R-4.5 | crmPack_2.1.0.tar.gz |
5.1 MiB |
2.1.0 |
rolling linux/noble R-4.5 | crmPack_2.1.0.tar.gz |
5.1 MiB |
2.1.0 |
rolling source/ R- | crmPack_2.1.0.tar.gz |
6.2 MiB |
2.1.0 |
latest linux/jammy R-4.5 | crmPack_2.1.0.tar.gz |
5.1 MiB |
2.1.0 |
latest linux/noble R-4.5 | crmPack_2.1.0.tar.gz |
5.1 MiB |
2.1.0 |
latest source/ R- | crmPack_2.1.0.tar.gz |
6.2 MiB |
2.1.0 |
2026-04-26 source/ R- | crmPack_2.1.0.tar.gz |
6.2 MiB |
2.1.0 |
2026-04-23 source/ R- | crmPack_2.1.0.tar.gz |
6.2 MiB |
2.1.0 |
2026-04-09 windows/windows R-4.5 | crmPack_2.1.0.zip |
5.2 MiB |
1.0.6 |
2025-04-20 source/ R- | crmPack_1.0.6.tar.gz |
671.6 KiB |