set_seed

<a href="https://lifecycle.r-lib.org/articles/stages.html#stable"><img src="figures/lifecycle-stable.svg?package=crmPack&version=2.0.0" alt="[Stable]"></a>
This code is basically copied from <code>stats:::simulate.lm</code>.

Implements a wide range of dose escalation
designs. The focus is on model-based 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. Bayesian inference is performed via MCMC sampling in JAGS, and it is easy
to setup a new design with custom 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.
Further details are presented in
Sabanes Bove et al. (2019) <doi:10.18637/jss.v089.i10>.

Daniel Sabanes Bove

crmPack

Object-Oriented Implementation of Dose Escalation Designs

Wai Yin Yeung

Burak Kuersad Guenhan

Giuseppe Palermo

Thomas Jaki

Jiawen Zhu

Ziwei Liao

Dimitris Kontos

Marlene Schulte-Goebel

Doug Kelkhoff

Oliver Boix

Robert Adams

Clara Beck

John Kirkpatrick

Wojciech Wójciak

Guanya Peng

Prerana Chandratre

F. Hoffmann-La Roche AG 

Merck Healthcare KGaA 

Bayer AG 

RPACT GmbH 

set_seed function

<dl><dt>seed</dt>
<dd>an object specifying if and how the random number generator
should be initialized ("seeded"). Either <code>NULL</code> (default) or an
integer that will be used in a call to <code><a href="/link/set.seed()?package=crmPack&version=2.0.0" data-mini-rdoc="crmPack::set.seed()">set.seed()</a></code> before
simulating the response vectors. If set, the value is saved as the
<code>seed</code> slot of the returned object. The default, <code>NULL</code> will
not change the random generator state.</dd></dl>

Arguments

<a href='https://lifecycle.r-lib.org/articles/stages.html#stable'><img src='figures/lifecycle-stable.svg' alt='[Stable]' /></a>
This code is basically copied from <code>stats:::simulate.lm</code>.

Helper Function to Set and Save the RNG Seed — set_seed

<dl>

<dt>seed</dt>
<dd>an object specifying if and how the random number generator
should be initialized ("seeded"). Either <code>NULL</code> (default) or an
integer that will be used in a call to <code><a href='https://rdrr.io/r/base/Random.html'>set.seed()</a></code> before
simulating the response vectors. If set, the value is saved as the
<code>seed</code> slot of the returned object. The default, <code>NULL</code> will
not change the random generator state.</dd>

</dl>

Helper Function to Set and Save the RNG Seed

set_seed: Helper Function to Set and Save the RNG Seed

Description

Usage

Value

Arguments