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.
rstan (>= 2.12.1), ggplot2 (>= 2.0.0), dfcrm, methods, stats,
graphics, grDevices

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).
rstan (>= 2.12.1), ggplot2 (>= 2.0.0), dfcrm, methods, stats,
graphics, grDevices, PK

Artemis Toumazi <artemis.toumazi@inserm.fr>, Moreno Ursino <moreno.ursino@inserm.fr>
and Sarah Zohar <sarah.zohar@inserm.fr>
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).
stan_fit4logit_reg_pkcov_mod, stan_fit4cdf_reg_dtox_mod,
stan_fit4logit_reg_pkpop_mod, stan_fit4cdf_reg_pktox_mod,
stan_fit4logit_reg_pklogit_mod, stan_fit4reg_auc_mod

Bayesian Dose-Finding Designs using Pharmacokinetics(PK) for
Phase I Clinical Trials
ggplot2 (>= 2.0.0), dfcrm, methods, stats, graphics,
grDevices, PK