<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Object-Oriented Implementation of Dose Escalation Designs</dc:title>
  <dc:title>R package crmPack version 2.2.1</dc:title>
  <dc:subject>CRAN Task View: ClinicalTrials (https://CRAN.R-project.org/view=ClinicalTrials)</dc:subject>
  <dc:subject>CRAN Task View: ExperimentalDesign (https://CRAN.R-project.org/view=ExperimentalDesign)</dc:subject>
  <dc: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) &lt;doi:10.18637/jss.v089.i10&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: ggplot2 (&gt;= 3.0.0), graphics, R (&gt;= 4.1.0)</dc:relation>
  <dc:relation>Imports: checkmate (&gt;= 2.2.0), dplyr, futile.logger, GenSA, gridExtra,
kableExtra, knitr, lifecycle, magrittr, methods, mvtnorm,
parallel, parallelly, Rdpack, rjags, rlang, survival, tibble,
tidyselect (&gt;= 1.2.0), tools, utils</dc:relation>
  <dc:relation>Suggests: bookdown, broom, covr, data.tree, DiagrammeR, ggmcmc, quarto
(&gt;= 1.4), rmarkdown, stringr, testthat (&gt;= 3.0.0), tidyr,
vdiffr, withr</dc:relation>
  <dc:creator>Daniel Sabanés Bové &lt;daniel.sabanes_bove@rconis.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Daniel Sabanés Bové [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-0176-9239&gt;),
  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: &lt;https://orcid.org/0009-0003-7845-4061&gt;),
  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]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2026-07-27</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=crmPack</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.crmPack</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>