crm_params-class

crm_params

a vector of the prior guesses of toxicity at doses.
This should be a monotonically-increasing vector of numbers between 0 and 1.

skeleton

the target toxicity probability, a number between 0 and 1.
This value would normally be one of the values in <code>skeleton</code>, but that
is not a requirement.

target

Value of fixed intercept parameter.
Only required for certain models. See Details.

Prior mean of intercept variable for normal prior.
Only required for certain models. See Details.

alpha_mean

Prior standard deviation of intercept variable for normal prior.
Only required for certain models. See Details.

alpha_sd

Prior mean of gradient variable for normal prior.
Only required for certain models. See Details.

beta_mean

Prior standard deviation of slope variable for normal prior.
Only required for certain models. See Details.

beta_sd

Prior shape parameter of slope variable for gamma prior.
Only required for certain models. See Details.

beta_shape

Prior inverse scale parameter of slope variable for
gamma prior. Only required for certain models. See Details.

beta_inverse_scale

Container class for parameters to fit the CRM models in trialr.

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

crm_params-class function

Requirements of <code>empiric</code> model

* a0
* beta_mean
* beta_sd

Requirements of <code>logistic</code> model

* a0
* beta_shape
* beta_inverse_scale

Requirements of <code>logistic_gamma</code> model

* a0
* alpha_mean
* alpha_sd
* beta_mean
* beta_sd

crm_params-class: Container class for parameters to fit the CRM models in trialr.

Description

Usage

Arguments

Requirements of <code>empiric</code> model

Requirements of <code>logistic</code> model

Requirements of <code>logistic_gamma</code> model

Requirements of <code>logistics</code> model

Details

See Also