CRAN/E | DTAT

DTAT

Dose Titration Algorithm Tuning

Installation

About

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.

Citation DTAT citation info
precisionmethods.guru/

Key Metrics

Version 0.3-6
R ≥ 3.5.0
Published 2023-03-29 366 days ago
Needs compilation? no
License MIT
License File
CRAN checks DTAT results

Downloads

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Last 7 days 68 +10%
Last 30 days 290 -9%
Last 90 days 1.071 +18%
Last 365 days 4.071 +9%

Maintainer

Maintainer

David C. Norris

david@precisionmethods.guru

Authors

David C. Norris

aut / cre

Material

Reference manual
Package source

In Views

ClinicalTrials

Vignettes

Exploring the '3+3/PC' dose-titration design
Code and figures for 'DTAT should supersede MTD' v1

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

DTAT archive

Depends

R ≥ 3.5.0
survival

Imports

km.ci
pomp
Hmisc
data.table
dplyr
r2d3
shiny
jsonlite
methods

Suggests

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