Statistical methods for retrospectively detecting changes
in location and/or dispersion of univariate and multivariate
variables. Data values are assumed to be independent, can be
individual (one observation at each instant of time) or subgrouped
(more than one observation at each instant of time).
Control limits are computed, often using a permutation approach,
so that a prescribed false alarm probability is guaranteed
without making any parametric assumptions on the stable
(in-control) distribution. See G. Capizzi and G. Masarotto (2018)
<doi:10.1007/978-3-319-75295-2> for an introduction to the package.

Statistical methods for retrospectively detecting changes
in location and/or dispersion of univariate and multivariate
variables. Data values are assumed to be independent, can be
individual (one observation at each instant of time) or subgrouped
(more than one observation at each instant of time).
Control limits are computed, often using a permutation approach,
so that a prescribed false alarm probability is guaranteed
without making any parametric assumptions on the stable
(in-control) distribution. See G. Capizzi and G. Masarotto (2018)
<doi:10.1007/978-3-319-75295-2_1> for an introduction to the package.

A Bayesian Dose-Finding Design using Pharmacokinetics(PK) for
Phase I Clinical Trials
Artemis Toumazi <artemis.toumazi@inserm.fr> , Moreno Ursino <moreno.ursino@inserm.fr> and Sarah Zohar <sarah.zohar@inserm.fr>
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.
rstan (>= 2.8.1), ggplot2 (>= 2.0.0), dfcrm, methods, stats,
graphics, grDevices
stan_fit4logit_cov2_mod, stan_fit4logit_reg_dtox_mod,
stan_fit4logit_reg_pkpop_mod, stan_fit4logit_reg_mod,
stan_fit4reg_auc2_mod