Package: crmPack Title: Object-Oriented Implementation of Dose Escalation Designs Version: 2.1.0.9000 Authors@R: c( person("Daniel", "Sabanés Bové", , "daniel.sabanes_bove@rconis.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-0176-9239")), person("Wai", "Yin Yeung", , "winnie.yeung@roche.com", role = "aut"), person("Burak Kuersad", "Guenhan", , "burakgunhan@gmail.com", role = "aut"), person("Giuseppe", "Palermo", , "giuseppe.palermo@roche.com", role = "aut"), person("Thomas", "Jaki", , "jaki.thomas@gmail.com", role = "aut"), person("Jiawen", "Zhu", , "zhu.jiawen@gene.com", role = "aut"), person("Ziwei", "Liao", , "ziwei.liao.fdu@gmail.com", role = "aut"), person("Dimitris", "Kontos", , "dimitris.kontos@bayer.com", role = "aut"), person("Marlene", "Schulte-Goebel", , "marlene.schulte-goebel@merckgroup.com", role = "aut"), person("Doug", "Kelkhoff", , "doug.kelkhoff@gmail.com", role = "aut", comment = c(ORCID = "0009-0003-7845-4061")), person("Oliver", "Boix", , "oliver.boix@bayer.com", role = "aut"), person("Robert", "Adams", , "robert.adams@bayer.com", role = "aut"), person("Clara", "Beck", , "clara.beck@bayer.com", role = "aut"), person("John", "Kirkpatrick", , "john@puzzledface.net", role = "aut"), person("Wojciech", "Wójciak", , "wojciech.wojciak@gmail.com", role = "aut"), person("Guanya", "Peng", , role = "aut"), person("Prerana", "Chandratre", , role = "aut"), person("F. Hoffmann-La Roche AG", role = c("cph", "fnd")), person("Merck Healthcare KGaA", role = c("cph", "fnd")), person("Bayer AG", role = c("cph", "fnd")), person("RPACT GmbH", role = c("cph", "fnd")) ) Description: Implements a wide range of dose escalation designs. The focus is on model-based 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. Bayesian inference is performed via MCMC sampling in JAGS, and it is easy to setup a new design with custom 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. Further details are presented in Sabanés Bové et al. (2019) . License: GPL (>= 2) URL: https://docs.crmpack.org/ BugReports: https://github.com/openpharma/crmPack/issues Depends: ggplot2 (>= 3.0.0), graphics, R (>= 4.1.0) Imports: checkmate (>= 2.2.0), dplyr, futile.logger, GenSA, gridExtra, kableExtra, knitr, lifecycle, magrittr, methods, mvtnorm, parallel, parallelly, Rdpack, rjags, rlang, survival, tibble, tidyselect (>= 1.2.0), tools, utils Suggests: bookdown, broom, covr, data.tree, decider, DiagrammeR, ggmcmc, quarto (>= 1.4), rmarkdown, stringr, testthat (>= 3.0.0), tidyr, vdiffr, withr VignetteBuilder: knitr, quarto Config/testthat/edition: 3 Encoding: UTF-8 Language: en-US LazyLoad: yes Roxygen: list(markdown = TRUE) RdMacros: Rdpack Collate: 'Backfill-validity.R' 'CrmPackClass-class.R' 'Rules-validity.R' 'helpers.R' 'Rules-class.R' 'Backfill-class.R' 'Backfill-methods.R' 'CrmPackClass-methods.R' 'Data-validity.R' 'Data-class.R' 'helpers_data.R' 'Data-methods.R' 'ModelParams-validity.R' 'ModelParams-class.R' 'Model-validity.R' 'helpers_jags.R' 'Model-class.R' 'HierarchicalModel-class.R' 'TwoDrugsCombo-class.R' 'Design-validity.R' 'Design-class.R' 'McmcOptions-validity.R' 'McmcOptions-class.R' 'McmcOptions-methods.R' 'Samples-validity.R' 'Samples-class.R' 'logger.R' 'helpers_covr.R' 'mcmc.R' 'Simulations-validity.R' 'Simulations-class.R' 'helpers_broom.R' 'helpers_rules.R' 'Model-methods.R' 'checkmate.R' 'Rules-methods.R' 'Design-methods.R' 'HierarchicalDesign-validity.R' 'HierarchicalDesign-class.R' 'HierarchicalDesign-methods.R' 'fromQuantiles.R' 'Samples-methods.R' 'Simulations-methods.R' 'crmPack-package.R' 'helpers_backfill.R' 'helpers_design.R' 'helpers_knitr.R' 'helpers_knitr_Backfill.R' 'helpers_knitr_CohortSize.R' 'helpers_knitr_Design.R' 'helpers_knitr_GeneralData.R' 'helpers_knitr_GeneralModel.R' 'helpers_knitr_Increments.R' 'helpers_knitr_NextBest.R' 'helpers_knitr_Opening.R' 'helpers_knitr_Recruitment.R' 'helpers_knitr_SafetyWindow.R' 'helpers_knitr_Stopping.R' 'helpers_model.R' 'helpers_samples.R' 'helpers_simulations.R' 'utils-pipe.R' 'utils.R' Config/roxygen2/version: 8.0.0 Remotes: Boehringer-Ingelheim/decider Config/pak/sysreqs: cmake libfontconfig1-dev libfreetype6-dev libfribidi-dev make libharfbuzz-dev jags libicu-dev libpng-dev libuv1-dev libxml2-dev Repository: https://pharmaverse.r-universe.dev Date/Publication: 2026-06-27 12:49:06 UTC RemoteUrl: https://github.com/Roche/crmPack RemoteRef: HEAD RemoteSha: a2f9a7f8811b3e12dd108a4e8de071e98cea4b77 NeedsCompilation: no Packaged: 2026-06-27 13:31:27 UTC; root Author: Daniel Sabanés Bové [aut, cre] (ORCID: ), Wai Yin Yeung [aut], Burak Kuersad Guenhan [aut], Giuseppe Palermo [aut], Thomas Jaki [aut], Jiawen Zhu [aut], Ziwei Liao [aut], Dimitris Kontos [aut], Marlene Schulte-Goebel [aut], Doug Kelkhoff [aut] (ORCID: ), Oliver Boix [aut], Robert Adams [aut], Clara Beck [aut], John Kirkpatrick [aut], Wojciech Wójciak [aut], Guanya Peng [aut], Prerana Chandratre [aut], F. Hoffmann-La Roche AG [cph, fnd], Merck Healthcare KGaA [cph, fnd], Bayer AG [cph, fnd], RPACT GmbH [cph, fnd] Maintainer: Daniel Sabanés Bové