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 roche.com> |
BugReports: | https://github.com/roche/crmPack/issues |
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 |
URL: | https://github.com/roche/crmPack |
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: crmPack_1.0.0.zip, r-release: crmPack_1.0.0.zip, r-oldrel: crmPack_1.0.0.zip |
macOS binaries: | r-release: crmPack_1.0.0.tgz, r-oldrel: crmPack_1.0.0.tgz |
Old sources: | crmPack archive |
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