Bayesian method for high-dimensional variable selection
1 |
Dm |
the D matrix |
Xmat |
the design matrix |
b |
the prior distribution parameter for beta, normal std |
om1 |
the prior distribution parameter for omega |
om2 |
the piror distribution parameter for omega |
niter |
number of iteration |
psample |
the sampling probability for updading regresson coefficient |
initsurv |
initial survival probabilities at end of study |
nreport |
every how many iterations to output parameters |
fitsurv |
the survival parameters optimization function |
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