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.

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>
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:, r-release:, r-oldrel:
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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