dfpk: Bayesian Dose-Finding Designs using Pharmacokinetics(PK) for Phase I Clinical Trials

Statistical methods involving PK measures are provided, in the dose allocation process during a Phase I clinical trials. These methods enter pharmacokinetics (PK) in the dose finding designs in different ways, including covariates models, dependent variable or hierarchical models. This package provides functions to generate data from several scenarios and functions to run simulations which their objective is to determine the maximum tolerated dose (MTD).

Version: 3.3.1
Depends: R (≥ 3.0.2), Rcpp (≥ 0.12.0), rstan (≥ 2.12.1)
Imports: ggplot2 (≥ 2.0.0), dfcrm, methods, stats, graphics, grDevices, PK
LinkingTo: StanHeaders (≥ 2.12.0), rstan (≥ 2.12.1), BH (≥ 1.60), Rcpp (≥ 0.12.0), RcppEigen
Published: 2017-06-30
Author: Artemis Toumazi, Moreno Ursino and Sarah Zohar
Maintainer: Artemis Toumazi <artemis.toumazi at inserm.fr>
BugReports: http://github.com/artemis-toumazi/dfpk/issues
License: GPL (≥ 3) | file LICENSE
URL: http://github.com/artemis-toumazi/dfpk
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README
In views: ExperimentalDesign, Pharmacokinetics
CRAN checks: dfpk results

Downloads:

Reference manual: dfpk.pdf
Package source: dfpk_3.3.1.tar.gz
Windows binaries: r-devel: dfpk_3.3.1.zip, r-release: dfpk_3.3.1.zip, r-oldrel: dfpk_3.3.1.zip
OS X El Capitan binaries: r-release: dfpk_3.3.1.tgz
OS X Mavericks binaries: r-oldrel: dfpk_3.3.1.tgz
Old sources: dfpk archive

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