mcmc_mix1_wrapper: Wrapper of mcmc_mix1

In clement-lee/rackage: Network Analysis of Dependencies of CRAN Packages

Wrapper of mcmc_mix1

Description

Wrapper of mcmc_mix1

Usage

mcmc_mix1_wrapper(
  df,
  seed,
  a_psiu = 0.1,
  b_psiu = 0.9,
  m_alpha1 = 0,
  s_alpha1 = 10,
  a_theta1 = 1,
  b_theta1 = 1,
  m_alpha2 = 0,
  s_alpha2 = 10,
  positive = FALSE,
  iter = 20000L,
  thin = 1L,
  burn = 10000L,
  freq = 100L,
  invts = 0.001^((0:8)/8),
  mc3_or_marg = TRUE,
  xmax = 1e+05
)

Arguments

df	A data frame with at least two columns, x & count
seed	Integer for set.seed
a_psiu, b_psiu, m_alpha1, s_alpha1, a_theta1, b_theta1, m_alpha2, s_alpha2	Scalars, real numbers representing the hyperparameters of the prior distributions for the respective parameters. See details for the specification of the priors.
positive	Boolean, is alpha1 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
invts	Vector of the inverse temperatures for Metropolis-coupled MCMC (if mc3_or_marg = TRUE) or power posterior (if mc3_or_marg = FALSE)
mc3_or_marg	Boolean, is Metropolis-coupled MCMC to be used? Ignored if invts = c(1.0)
xmax	Scalar (default 100000), positive integer limit for computing the normalising constant

Value

A list returned by mcmc_mix1

clement-lee/rackage documentation built on March 28, 2024, 7:05 p.m.