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.
|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|
|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|
|CRAN checks:||crmPack results|
crmPack: Object-oriented implementation of CRM designs
|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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