add_mcmc {psborrow} | R Documentation |
Generating posterior samples from MCMC
Description
Generating posterior samples from MCMC
Usage
add_mcmc(dt, priorObj, n.chains, n.adapt, n.burn, n.iter, seed)
Arguments
dt |
a list of |
priorObj |
an object of class |
n.chains |
number of parallel chains for the model |
n.adapt |
number of iterations for adaptation |
n.burn |
number of iterations discarded as burn-in |
n.iter |
number of iterations to monitor |
seed |
the seed of random number generator. Default is the first element of .Random.seed |
Value
A list
containing hazard ratio and prior information
[Package psborrow version 0.2.3 Index]