Package: DTAT
Type: Package
Title: Dose Titration Algorithm Tuning
Version: 0.3-7
Date: 2024-05-24
Authors@R: person("David C.", "Norris"
                 , role = c("aut", "cre")
                 , email = "david@precisionmethods.guru"
                 )
Maintainer: David C. Norris <david@precisionmethods.guru>
Depends: R (>= 3.5.0), survival
Imports: km.ci, pomp, Hmisc, data.table, dplyr, r2d3, shiny, jsonlite,
        methods
Suggests: knitr, rmarkdown, lattice, latticeExtra, widgetframe, tidyr,
        RColorBrewer, invgamma, zipfR, rms
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) <doi:10.12688/f1000research.10624.3> and
             Norris (2017c) <doi:10.1101/240846>.
URL: https://precisionmethods.guru/
License: MIT + file LICENSE
RoxygenNote: 7.2.3
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
NeedsCompilation: no
Author: David C. Norris [aut, cre]
Packaged: 2024-05-24 22:10:03 UTC; david
Repository: CRAN
Date/Publication: 2024-05-25 02:20:03 UTC
Built: R 4.5.0; ; 2025-01-22 17:09:27 UTC; unix
