Package: dfpk
Type: Package
Title: A Bayesian Dose-Finding Design using Pharmacokinetics(PK) for
        Phase I Clinical Trials
Version: 2.1.0
Date: 2017-03-11
Author: Artemis Toumazi <artemis.toumazi@inserm.fr> , Moreno Ursino <moreno.ursino@inserm.fr> and Sarah Zohar <sarah.zohar@inserm.fr>
Maintainer: Artemis Toumazi <artemis.toumazi@inserm.fr>
Description: 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.
License: GPL (>= 3) | file LICENSE
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
RcppModules: stan_fit4logit_cov2_mod, stan_fit4logit_reg_dtox_mod,
        stan_fit4logit_reg_pkpop_mod, stan_fit4logit_reg_mod,
        stan_fit4reg_auc2_mod
LazyData: true
NeedsCompilation: yes
URL: http://github.com/artemis-toumazi/dfpk
BugReports: http://github.com/artemis-toumazi/dfpk/issues
RoxygenNote: 5.0.1
Packaged: 2017-03-11 10:24:19 UTC; Artemis
Repository: CRAN
Date/Publication: 2017-03-11 18:50:39
Built: R 3.2.5; x86_64-w64-mingw32; 2017-04-20 08:15:17 UTC; windows
Archs: i386, x64
