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: 1.0.6 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: 2024-06-26 DOI: 10.32614/CRAN.package.crmPack Author: Daniel Sabanes Bove [aut, cre], Wai Yin Yeung [aut], Giuseppe Palermo [aut], Thomas Jaki [aut] Maintainer: Daniel Sabanes Bove <daniel.sabanes_bove at rconis.com> BugReports: https://github.com/openpharma/crmPack/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] Copyright: F. Hoffmann-La Roche Ltd URL: https://github.com/openpharma/crmPack NeedsCompilation: no Citation: crmPack citation info Materials: NEWS In views: ClinicalTrials, ExperimentalDesign CRAN checks: crmPack results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=crmPack to link to this page.
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