mcmc_core: Perform Markov Chain Monte Carlo (MCMC) sampling using...
In MarkeyBBSRF/MEScan:

Description Usage Arguments Value

View source: R/mcmc.R

Perform Markov Chain Monte Carlo (MCMC) sampling using Metropolis-Hasting algorithm.

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mcmc_core(mut_data, mut_rate, num_iters = 1000, burning = 0,
  mcmc_tuning, tg_lambda, mcmc_output, geneset_size, seed = -1,
  previous_stats = NULL, debug = -1)

`mut_data`	Mutation table created using MADGIC algorithm.
`mut_rate`	Mutation rate table create uisng MADGIC algorithm.
`num_iters`	Number of MCMC samples.
`burning`	Number of Burn-in samples.
`mcmc_tuning`	MCMC tuning parameter.
`tg_lambda`	lambda.
`geneset_size`	Size of the gene sets to sample.
`seed`	Seed for RGN.
`previous_stats`	Recovery from the previous MCMC chain file.