dfpk: A Bayesian Dose-Finding Design 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 objectives are to determine the maximum tolerated dose (MTD) and to investigate the pharmacokinetics of a drug or a combination of drugs.

Version: 2.0.0
Depends: R (≥ 3.0.2), Rcpp (≥ 0.12.0)
Imports: rstan (≥ 2.12.1), ggplot2 (≥ 2.0.0), dfcrm, methods, stats, graphics, grDevices
LinkingTo: StanHeaders (≥ 2.12.0), rstan (≥ 2.12.1), BH (≥ 1.60), Rcpp (≥ 0.12.0), RcppEigen
Published: 2016-12-15
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_2.0.0.tar.gz
Windows binaries: r-devel: dfpk_2.0.0.zip, r-release: dfpk_2.0.0.zip, r-oldrel: dfpk_2.0.0.zip
OS X Mavericks binaries: r-release: dfpk_2.0.0.tgz, r-oldrel: dfpk_2.0.0.tgz
Old sources: dfpk archive


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