gather_samples.crm_fit

<code><a rd-options="" href="/link/crm_fit?package=trialr&version=0.0.7" data-mini-rdoc="trialr::crm_fit">crm_fit</a></code> object.

Extract tall data.frame of posterior prob_tox samples.

A showcase of Bayesian clinical trial designs, implemented in
'RStan' and R. Some designs are implemented in R for the first
time (e.g. 'EffTox' by Thall and Cook, 2004,
<https://biostatistics.mdanderson.org/softwaredownload/SingleSoftware.aspx?Software_Id=2>).
Given the emphasis on flexibility in Bayesian analysis,
the implementations in a common language and style may serve as a cookbook
to encourage the use of Bayesian methods in trials. Compiled 'RStan' models
are provided in addition to helper classes and functions to perform
simulations and inference on observed trial outcomes.
There is a preponderance of early phase trial designs because this is where
Bayesian methods are used most. If there is a published Bayesian design you
want implemented in 'Stan', get in touch.

Kristian Brock

trialr

Clinical Trial Designs in 'RStan'

Trustees of Columbia University

gather_samples.crm_fit function

<code><a rd-options='' href='crm_fit'>crm_fit</a></code> object.

gather_samples.crm_fit: Extract tall data.frame of posterior prob_tox samples.

Description

Usage

Arguments

Value