logit

programming

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 Saban<c3><a9>s Bov<c3><a9>

crmPack

Object-Oriented Implementation of CRM Designs

Daniel Sabanes Bove

Wai Yin Yeung

Giuseppe Palermo

Thomas Jaki

logit function

<dl><dt>x</dt>
<dd>the function argument</dd></dl>

Arguments

Shorthand for logit function — logit

<dl>

<dt>x</dt>
<dd>the function argument</dd>

</dl>

Shorthand for logit function

logit: Shorthand for logit function

Description

Usage

Value

Arguments