Package: crmPack
Title: Object-Oriented Implementation of Dose Escalation Designs
Version: 2.2.1
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) <doi:10.18637/jss.v089.i10>.
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, 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
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
NeedsCompilation: no
Packaged: 2026-07-27 13:22:47 UTC; daniel
Author: Daniel Sabanés Bové [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-0176-9239>),
  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: <https://orcid.org/0009-0003-7845-4061>),
  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 <daniel.sabanes_bove@rconis.com>
Repository: CRAN
Date/Publication: 2026-07-27 14:10:02 UTC
Built: R 4.7.0; ; 2026-08-11 04:39:58 UTC; windows
