[aut, cre]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
[aut, cre] |
| Maintainer: | Kristian Brock <kristian.brock at gmail.com> |
| 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: escalation_0.1.3.zip, r-release: escalation_0.1.3.zip, r-oldrel: escalation_0.1.3.zip |
| macOS binaries: | r-release: escalation_0.1.3.tgz, r-oldrel: escalation_0.1.3.tgz |
| Old sources: | escalation archive |
| Reverse depends: | precautionary |
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