bacisCheckDIC {bacistool} | R Documentation |
In this function, the classification model is applied using the input parameter values and the DIC value is calculated.
bacisCheckDIC(numGroup, tau1, tau2, phi1, phi2,
MCNum, nDat, xDat, seed)
numGroup |
Number of subgroups in the trial. |
tau1 |
The precision parameter of subgroups clustering for the classification model. |
tau2 |
The precision prior for the latent variable for the classification. |
phi1 |
Center for the low response rate cluster. |
phi2 |
Center for the high response rate cluster. |
MCNum |
The number of MCMC sampling iterations. |
nDat |
The vector of total sample sizes of all subgroups. |
xDat |
The vector of the response numbers of all subgroups. |
seed |
Random seed value. If its value is NA, a time dependent random seed is generated and applied. |
The classification model is applied using the input parameter values and the DIC value is returned.
Nan Chen and J. Jack Lee / Department of Biostatistics UT MD Anderson Cancer Center
## An example to compute the DIC value.
library(bacistool)
result<-bacisCheckDIC(numGroup=5,
tau1=NA,
tau2=.001,
phi1=0.1, phi2=0.3,
MCNum=5000,
nDat=c(25,25,25,25,25),
xDat=c(3,4,3,8,7),
seed=100
)