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

Includes methods involving PK measures in the dose allocation process during a Phase I clinical trials. These methods enter PK in the dose finding designs in different ways, including covariates models, dependent variable or hierarchical models. This package provides functions to generate scenarios, and to run simulations which their objective is to determine the maximum tolerated dose (MTD) and to investigate PK of a drug or a combination of drugs.

Version: 1.0
Depends: R (≥ 3.0.2), Rcpp (≥ 0.11.0)
Imports: rstan (≥ 2.8.1), ggplot2 (≥ 2.0.0), dfcrm, methods, stats, graphics, grDevices
LinkingTo: StanHeaders (≥ 2.8.0), rstan (≥ 2.8.1), BH (≥ 1.58.0), Rcpp (≥ 0.11.0), RcppEigen
Published: 2016-08-10
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)
URL: http://github.com/artemis-toumazi/dfpk
NeedsCompilation: yes
Materials: README
In views: ExperimentalDesign
CRAN checks: dfpk results


Reference manual: dfpk.pdf
Package source: dfpk_1.0.tar.gz
Windows binaries: r-devel: dfpk_1.0.zip, r-release: dfpk_1.0.zip, r-oldrel: dfpk_1.0.zip
OS X Mavericks binaries: r-release: dfpk_1.0.tgz, r-oldrel: dfpk_1.0.tgz


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