escalation: Modular Approach to Dose Finding Clinical Trials

Methods for working with dose-finding clinical trials. We start by providing a common interface to various dose-finding methodologies like the continual reassessment method (CRM) by O'Quigley et al. (1990) <doi:10.2307/2531628>, the Bayesian optimal interval design (BOIN) by Liu & Yuan (2015) <doi:10.1111/rssc.12089>, and the 3+3 described by Korn et al. (1994) <doi:10.1002/sim.4780131802>. We then add optional embellishments to provide extra desirable behaviour, like avoiding skipping doses, stopping after n patients have been treated at the recommended dose, or demanding that n patients are treated before stopping is allowed. By daisy-chaining together these embellishments using the pipe operator from 'magrittr', it is simple to tailor the behaviour of dose-finding designs so that they do what you want. Furthermore, using this flexible interface for creating dose-finding designs, it is simple to run simulations or calculate dose-pathways for future cohorts of patients.

Version: 0.1.3
Depends: magrittr
Imports: dplyr, tidyr (≥ 1.0), tidyselect, stringr, purrr, tibble, gtools, dfcrm, BOIN, DiagrammeR, RColorBrewer, viridis
Suggests: testthat, knitr, rmarkdown, ggplot2, covr
Published: 2020-05-12
Author: Kristian Brock ORCID iD [aut, cre]
Maintainer: Kristian Brock <kristian.brock at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: escalation results


Reference manual: escalation.pdf
Vignettes: Working with dose-paths
Working with dose selectors
Simulating dose-escalation trials
Package source: escalation_0.1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: escalation_0.1.3.tgz, r-oldrel: escalation_0.1.3.tgz
Old sources: escalation archive

Reverse dependencies:

Reverse depends: precautionary


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