Statistical methods involving PK measures are provided, in the dose allocation process during a Phase I clinical trials. These methods, proposed by Ursino et al, (2017) <doi:10.1002/bimj.201600084>, 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: |
3.5.1 |
| Depends: |
R (≥ 3.4.0), Rcpp (≥ 0.12.11), rstan (≥ 2.18.1) |
| Imports: |
ggplot2 (≥ 2.0.0), dfcrm, methods, stats, graphics, grDevices, PK |
| LinkingTo: |
StanHeaders (≥ 2.18.0), rstan (≥ 2.18.1), BH (≥ 1.66), Rcpp (≥ 0.12.0), RcppEigen |
| Published: |
2018-11-09 |
| Author: |
Artemis Toumazi [cre, aut],
Sarah Zohar [aut],
Moreno Ursino [aut],
Trustees of Columbia University [cph] (R/stanmodels.R),
French National Institute of Health and Medical Research [cph] |
| Maintainer: |
Artemis Toumazi <artemis.toumazi at gmail.com> |
| BugReports: |
http://github.com/artemis-toumazi/dfpk/issues |
| License: |
GPL (≥ 3) | file LICENSE |
| Copyright: |
stanmodels.R is copyright 2015, 2016, 2017 Trustees of
Columbia University. All other files are copyright French
National Institute of Health and Medical Research. |
| URL: |
http://github.com/artemis-toumazi/dfpk |
| NeedsCompilation: |
yes |
| SystemRequirements: |
GNU make |
| Materials: |
README |
| In views: |
Bayesian, ClinicalTrials, ExperimentalDesign, Pharmacokinetics |
| CRAN checks: |
dfpk results |