psborrow (version 0.2.3)

run_mcmc_p: Run MCMC for multiple scenarios with provided data with parallel processing

Description

Run MCMC for multiple scenarios with provided data with parallel processing

Usage

run_mcmc_p(
  dt,
  priorObj,
  n.chains,
  n.adapt,
  n.burn,
  n.iter,
  seed,
  path,
  n.cores = 2
)

Value

a data.frame containing summary statistics of the posterior distribution for each simulation

Arguments

dt

a list of matrix containing simulated time-to-events information

priorObj

an object of class .priorClass generated in set_prior

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

path

file name for saving the output including folder path

n.cores

number of processes to parallelize over (default = 2)

Examples

# similar to run_mcmc