| setPriorParametersBerry {bhmbasket} | R Documentation |
setPriorParametersBerry
Description
This function sets prior parameters for the analysis method "berry"
for use in performAnalyses.
Usage
setPriorParametersBerry(mu_mean, mu_sd, tau_scale)
Arguments
mu_mean |
A numeric for the mean of |
mu_sd |
A positive numeric for the standard deviation of |
tau_scale |
A positive numeric for the scale parameter of |
Details
This function sets the prior parameters for the method proposed by Berry et al. (2013).
Note that the implemented distribution of \tau is half-normal.
Value
A list with prior parameters of class prior_parameters_list
Author(s)
Stephan Wojciekowski
References
Berry, Scott M., et al. "Bayesian hierarchical modeling of patient subpopulations: efficient designs of phase II oncology clinical trials." Clinical Trials 10.5 (2013): 720-734.
See Also
performAnalyses
getPriorParameters
combinePriorParameters
setPriorParametersExNex
setPriorParametersExNexAdj
setPriorParametersPooled
setPriorParametersStratified
getMuVar
Examples
prior_parameters_berry <- setPriorParametersBerry(0, 1, 2)