DTAT (0.3-3)

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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 (2017) and Norris (2017) .

Maintainer: David C. Norris
Author(s): David C. Norris [aut, cre]

License: MIT + file LICENSE

Uses: data.table, dplyr, Hmisc, jsonlite, km.ci, pomp, r2d3, shiny, survival, RColorBrewer, latticeExtra, lattice, knitr, tidyr, rmarkdown, widgetframe

Released 8 months ago.

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