rlkjcorr

This function was copied from Richard McElreath's rethinking package hosted
at https://github.com/rmcelreath/rethinking. In turn, he appears to have
copied it from Ben Bolker's rLKJ function from the emdbook package, although
I cannot find it there (else I would have imported it).

A collection of clinical trial designs and methods, implemented in
'rstan' and R, including: the Continual Reassessment Method by O'Quigley et
al. (1990) <doi:10.2307/2531628>; EffTox by Thall & Cook (2004)
<doi:10.1111/j.0006-341X.2004.00218.x>; the two-parameter logistic method of
Neuenschwander, Branson & Sponer (2008) <doi:10.1002/sim.3230>; and the
Augmented Binary method by Wason & Seaman (2013) <doi:10.1002/sim.5867>; and
more. We provide functions to aid model-fitting and analysis.
The 'rstan' implementations may also serve as a cookbook to anyone looking
to extend or embellish these models. We hope that this package encourages
the use of Bayesian methods in clinical trials. There is a preponderance of
early phase trial designs because this is where Bayesian methods are used
most. If there is a method you would like implemented, please get in touch.

Kristian Brock

trialr

Clinical Trial Designs in 'rstan'

Trustees of Columbia University

rlkjcorr function

<dl><dt>n</dt>
<dd>Number of matrices to sample.</dd>
<dt>K</dt>
<dd>dimenstion of matrix to sample.</dd>
<dt>eta</dt>
<dd>Distribution parameter</dd></dl>

Arguments

Sample LKJ correlation matrices. — rlkjcorr

<dl>

<dt>n</dt>
<dd>Number of matrices to sample.</dd>


<dt>K</dt>
<dd>dimenstion of matrix to sample.</dd>


<dt>eta</dt>
<dd>Distribution parameter</dd>

</dl>

rlkjcorr: Sample LKJ correlation matrices.

Description

Usage

Value

Arguments