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.
Version: | 0.2.0 |
Depends: | R (≥ 3.0.0), ggplot2 (≥ 2.0.0), graphics |
Imports: | methods, grid, gridExtra, GenSA, mvtnorm, parallel, BayesLogit, rjags, utils, tools, MASS |
Suggests: | ggmcmc, R2WinBUGS, Rcpp, RcppArmadillo |
Published: | 2016-07-16 |
Author: | Daniel Sabanes Bove, Wai Yin Yeung, Giuseppe Palermo, Thomas Jaki |
Maintainer: | Daniel Sabanes Bove <sabanesd at roche.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
Copyright: | F. Hoffmann-La Roche Ltd |
NeedsCompilation: | no |
Materials: | NEWS ChangeLog |
In views: | ExperimentalDesign |
CRAN checks: | crmPack results |
Reference manual: | crmPack.pdf |
Vignettes: |
crmPack: Object-oriented implementation of CRM designs |
Package source: | crmPack_0.2.0.tar.gz |
Windows binaries: | r-devel: crmPack_0.2.0.zip, r-release: crmPack_0.2.0.zip, r-oldrel: crmPack_0.2.0.zip |
OS X Mavericks binaries: | r-release: crmPack_0.2.0.tgz, r-oldrel: crmPack_0.2.0.tgz |
Old sources: | crmPack archive |
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