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<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>A Modular Approach to Dose-Finding Clinical Trials</dc:title>
  <dc:title>R package escalation version 0.2.3</dc:title>
  <dc:subject>CRAN Task View: ClinicalTrials (https://CRAN.R-project.org/view=ClinicalTrials)</dc:subject>
  <dc:description>Methods for working with dose-finding clinical trials. We provide 
    implementations of many dose-finding clinical trial designs, including the 
    continual reassessment method (CRM) by O'Quigley et al. (1990) 
    &lt;doi:10.2307/2531628&gt;, the toxicity probability interval (TPI) design by Ji
    et al. (2007) &lt;doi:10.1177/1740774507079442&gt;, the modified TPI (mTPI) design
    by Ji et al. (2010) &lt;doi:10.1177/1740774510382799&gt;, the Bayesian optimal 
    interval design (BOIN) by Liu &amp; Yuan (2015) &lt;doi:10.1111/rssc.12089&gt;, EffTox
    by Thall &amp; Cook (2004) &lt;doi:10.1111/j.0006-341X.2004.00218.x&gt;; the design of
    Wages &amp; Tait (2015) &lt;doi:10.1080/10543406.2014.920873&gt;, and the 3+3 
    described by Korn et al. (1994) &lt;doi:10.1002/sim.4780131802&gt;. All designs
    are implemented with a common interface. We also offer optional additional 
    classes to tailor the behaviour of all designs, including avoiding skipping 
    doses, stopping after n patients have been treated at the recommended dose,  
    stopping when a toxicity condition is met, or demanding that n patients are 
    treated before stopping is allowed. By daisy-chaining together these classes
    using the pipe operator from 'magrittr', it is simple to tailor the 
    behaviour of a dose-finding design so it behaves how the trialist wants.
    Having provided a flexible interface for specifying designs, we then provide
    functions to run simulations and calculate dose-paths for future cohorts of 
    patients.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: magrittr</dc:relation>
  <dc:relation>Imports: dplyr, tidyr (&gt;= 1.0), tidyselect, stringr, purrr, tibble,
ggplot2, gtools, dfcrm, BOIN, trialr (&gt;= 0.1.5), DiagrammeR,
RColorBrewer, viridis, binom, R6, mvtnorm, graphics, Iso,
testthat</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, covr</dc:relation>
  <dc:creator>Kristian Brock &lt;kristian.brock@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Kristian Brock [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-3921-0166&gt;),
  Daniel Slade [aut] (ORCID: &lt;https://orcid.org/0000-0001-6063-1283&gt;),
  Michael Sweeting [aut] (ORCID: &lt;https://orcid.org/0000-0003-0980-8965&gt;),
  Conor Norris [ctb] (ORCID: &lt;https://orcid.org/0009-0009-8850-0811&gt;),
  Bharat Bhushan [ctb] (ORCID: &lt;https://orcid.org/0009-0001-5271-7113&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2025-10-08</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=escalation</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.escalation</dc:identifier>
</oai_dc:dc>
