Package: escalation
Type: Package
Title: A Modular Approach to Dose-Finding Clinical Trials
Version: 0.2.3
Date: 2025-10-08
Authors@R: c(
    person("Kristian", "Brock", 
      email = "kristian.brock@gmail.com", 
      role = c("aut", "cre"), 
      comment = c(ORCID = "0000-0002-3921-0166")
    ),
    person("Daniel", "Slade", 
      role = c("aut"), 
      comment = c(ORCID = "0000-0001-6063-1283")
    ),
    person("Michael", "Sweeting", 
      role = c("aut"), 
      comment = c(ORCID = "0000-0003-0980-8965")
    ),
    person("Conor", "Norris", 
      role = c("ctb"),
      comment = c(ORCID = "0009-0009-8850-0811")
    ),
    person("Bharat", "Bhushan", 
      role = c("ctb"),
      comment = c(ORCID = "0009-0001-5271-7113")
    )
  )
Maintainer: Kristian Brock <kristian.brock@gmail.com>
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) <doi:10.2307/2531628>, the toxicity
        probability interval (TPI) design by Ji et al. (2007)
        <doi:10.1177/1740774507079442>, the modified TPI (mTPI) design
        by Ji et al. (2010) <doi:10.1177/1740774510382799>, the
        Bayesian optimal interval design (BOIN) by Liu & Yuan (2015)
        <doi:10.1111/rssc.12089>, EffTox by Thall & Cook (2004)
        <doi:10.1111/j.0006-341X.2004.00218.x>; the design of Wages &
        Tait (2015) <doi:10.1080/10543406.2014.920873>, and the 3+3
        described by Korn et al. (1994) <doi:10.1002/sim.4780131802>.
        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.
License: GPL (>=3)
Encoding: UTF-8
Depends: magrittr
Imports: dplyr, tidyr (>= 1.0), tidyselect, stringr, purrr, tibble,
        ggplot2, gtools, dfcrm, BOIN, trialr (>= 0.1.5), DiagrammeR,
        RColorBrewer, viridis, binom, R6, mvtnorm, graphics, Iso,
        testthat
RoxygenNote: 7.3.2
URL: https://brockk.github.io/escalation/,
        https://github.com/brockk/escalation
BugReports: https://github.com/brockk/escalation/issues
Suggests: knitr, rmarkdown, covr
VignetteBuilder: knitr
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libuv1-dev
        libxml2-dev libx11-dev
Repository: https://brockk.r-universe.dev
Date/Publication: 2025-10-08 13:39:24 UTC
RemoteUrl: https://github.com/brockk/escalation
RemoteRef: HEAD
RemoteSha: add4557aba9c0a124f1f27b4cef7202078b7540c
NeedsCompilation: no
Packaged: 2026-07-03 14:23:40 UTC; root
Author: Kristian Brock [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-3921-0166>),
  Daniel Slade [aut] (ORCID: <https://orcid.org/0000-0001-6063-1283>),
  Michael Sweeting [aut] (ORCID: <https://orcid.org/0000-0003-0980-8965>),
  Conor Norris [ctb] (ORCID: <https://orcid.org/0009-0009-8850-0811>),
  Bharat Bhushan [ctb] (ORCID: <https://orcid.org/0009-0001-5271-7113>)