mcmc_mix3_wrapper: Wrapper of mcmc_mix3
In crandep: Network Analysis of Dependencies of CRAN Packages

mcmc_mix3_wrapper

R Documentation

Wrapper of mcmc_mix3

Description

Wrapper of mcmc_mix3

Usage

mcmc_mix3_wrapper(
  df,
  seed,
  a_psi1 = 1,
  a_psi2 = 1,
  a_psiu = 0.001,
  b_psiu = 0.9,
  m_alpha = 0,
  s_alpha = 0,
  a_theta = 1,
  b_theta = 1,
  m_shape = 0,
  s_shape = 10,
  a_sigma = 1,
  b_sigma = 0.01,
  a_pseudo = 10,
  b_pseudo = 1,
  pr_power2 = 0.5,
  powerlaw1 = FALSE,
  positive1 = FALSE,
  positive2 = TRUE,
  iter = 20000L,
  thin = 20L,
  burn = 100000L,
  freq = 1000L,
  mc3 = FALSE,
  invts = 0.001^((0:8)/8),
  name = TRUE
)

Arguments

`df`	A data frame with at least two columns, x & count
`seed`	Integer for `set.seed`
`a_psi1, a_psi2, a_psiu, b_psiu, m_alpha, s_alpha, a_theta, b_theta, m_shape, s_shape, a_sigma, b_sigma`	Scalars, real numbers representing the hyperparameters of the prior distributions for the respective parameters. See details for the specification of the priors.
`a_pseudo`	Positive real number, first parameter of the pseudoprior beta distribution for theta2 in model selection; ignored if pr_power2 = 1.0
`b_pseudo`	Positive real number, second parameter of the pseudoprior beta distribution for theta2 in model selection; ignored if pr_power2 = 1.0
`pr_power2`	Real number in [0, 1], prior probability of the discrete power law (between v and u)
`powerlaw1`	Boolean, is the discrete power law assumed for below v?
`positive1`	Boolean, is alpha1 positive (TRUE) or unbounded (FALSE)?
`positive2`	Boolean, is alpha2 positive (TRUE) or unbounded (FALSE)?
`iter`	Positive integer representing the length of the MCMC output
`thin`	Positive integer representing the thinning in the MCMC
`burn`	Non-negative integer representing the burn-in of the MCMC
`freq`	Positive integer representing the frequency of the sampled values being printed
`mc3`	Boolean, is Metropolis-coupled MCMC to be used?
`invts`	Vector of the inverse temperatures for Metropolis-coupled MCMC; ignored if mc3 = FALSE
`name`	Boolean; if the column `name` exists, are its unique values printed?