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: 1.0.0
Depends: R (≥ 3.0.0), ggplot2 (≥ 2.0.0), graphics
Imports: methods, grid, gridExtra, GenSA, mvtnorm, parallel, rjags, utils, tools, MASS
Suggests: ggmcmc, knitr, Rcpp, RcppArmadillo
Published: 2019-06-13
Author: Daniel Sabanes Bove [aut], Wai Yin Yeung [aut], Giuseppe Palermo [aut, cre], Thomas Jaki [aut]
Maintainer: Giuseppe Palermo <giuseppe.palermo at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: F. Hoffmann-La Roche Ltd, except Google LLC for contributions by Daniel Sabanes Bove after 6 August 2018
NeedsCompilation: no
Citation: crmPack citation info
Materials: README NEWS
In views: ExperimentalDesign
CRAN checks: crmPack results


Reference manual: crmPack.pdf
Vignettes: Vignette Title
Model-based Dose Escalation Designs in R with crmPack (JSS manuscript)
crmPack: Object-oriented implementation of CRM designs
Package source: crmPack_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: crmPack_1.0.0.tgz, r-oldrel: crmPack_1.0.0.tgz
Old sources: crmPack archive


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