summary,GeneralSimulations-method

the <code><a href="/link/?package=crmPack&version=0.2.7" generalsimulations'="" data-mini-rdoc="crmPack::"></a>'>GeneralSimulations</code> object we want to
summarize

object

a function which takes as input a dose (vector) and returns the
true probability (vector) for toxicity

truth

the target toxicity interval (default: 20-35%) used for the
computations

target

Additional arguments can be supplied here for <code>truth</code>

&#8230;

Summarize the simulations, relative to a given truth

methods

Implements a wide range of model-based dose
escalation designs, ranging from classical and modern continual
reassessment methods (CRMs) based on dose-limiting toxicity endpoints to
dual-endpoint designs taking into account a biomarker/efficacy outcome. The
focus is on Bayesian inference, making it very easy to setup a new design
with its own JAGS code. However, it is also possible to implement 3+3
designs for comparison or models with non-Bayesian estimation. The whole
package is written in a modular form in the S4 class system, making it very
flexible for adaptation to new models, escalation or stopping rules.

Daniel Bove

crmPack

Object-Oriented Implementation of CRM Designs

summary,GeneralSimulations-method function

the <code><a href='<a href='GeneralSimulations'></a>'>GeneralSimulations</a></code> object we want to
summarize

summary,GeneralSimulations-method: Summarize the simulations, relative to a given truth

Description

Usage

Arguments

Value