Package: DTAT
Type: Package
Title: Dose Titration Algorithm Tuning
Version: 0.3-8
Date: 2025-07-23
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: 7.3.2
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
NeedsCompilation: no
Author: David C. Norris [aut, cre]
Packaged: 2026-06-19 07:58:35 UTC; root
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev zlib1g-dev
Repository: https://dcnorris.r-universe.dev
Date/Publication: 2025-07-24 13:10:13 UTC
RemoteUrl: https://github.com/cran/DTAT
RemoteRef: HEAD
RemoteSha: 7f60dd902f631ac3083942a5ac0be7ee0a872073