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DTAT  

Dose Titration Algorithm Tuning
View on CRAN: Click here


Download and install DTAT package within the R console
Install from CRAN:
install.packages("DTAT")

Install from Github:
library("remotes")
install_github("cran/DTAT")

Install by package version:
library("remotes")
install_version("DTAT", "0.3-7")



Attach the package and use:
library("DTAT")
Maintained by
David C. Norris
[Scholar Profile | Author Map]
First Published: 2019-02-18
Latest Update: 2023-03-29
Description:
Dose Titration Algorithm Tuning (DTAT) is a methodologic framework allowing dose individualization to be conceived as a continuous learning process that begins in early-phase clinical trials and continues throughout drug development, on into clinical practice. This package includes code that researchers may use to reproduce or extend key results of the DTAT research programme, plus tools for trialists to design and simulate a '3+3/PC' dose-finding study. Please see Norris (2017a) and Norris (2017c) .
How to cite:
David C. Norris (2019). DTAT: Dose Titration Algorithm Tuning. R package version 0.3-7, https://cran.r-project.org/web/packages/DTAT. Accessed 21 Feb. 2025.
Previous versions and publish date:
0.3-0 (2019-02-18 15:40), 0.3-1 (2019-02-20 23:40), 0.3-2 (2019-06-04 20:50), 0.3-3 (2019-06-26 10:00), 0.3-4 (2020-06-14 16:50), 0.3-5 (2023-03-10 23:40), 0.3-6 (2023-03-29 21:40)
Other packages that cited DTAT R package
View DTAT citation profile
Other R packages that DTAT depends, imports, suggests or enhances
Complete documentation for DTAT
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