mcmc_pol_wrapper: Wrapper of mcmc_pol

In crandep: Network Analysis of Dependencies of CRAN Packages

Wrapper of mcmc_pol

Description

Wrapper of mcmc_pol

Usage

mcmc_pol_wrapper(
  df,
  seed,
  alpha_init = 1.5,
  theta_init = 0.5,
  m_alpha = 0,
  s_alpha = 10,
  a_theta = 1,
  b_theta = 1,
  a_pseudo = 10,
  b_pseudo = 1,
  pr_power = 0.5,
  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
alpha_init	Real number greater than 1, initial value of the parameter
theta_init	Real number in (0, 1], initial value of the parameter
m_alpha	Real number, mean of the prior normal distribution for alpha
s_alpha	Positive real number, standard deviation of the prior normal distribution for alpha
a_theta	Positive real number, first parameter of the prior beta distribution for theta; ignored if pr_power = 1.0
b_theta	Positive real number, second parameter of the prior beta distribution for theta; ignored if pr_power = 1.0
a_pseudo	Positive real number, first parameter of the pseudoprior beta distribution for theta in model selection; ignored if pr_power = 1.0
b_pseudo	Positive real number, second parameter of the pseudoprior beta distribution for theta in model selection; ignored if pr_power = 1.0
pr_power	Real number in [0, 1], prior probability of the discrete power law
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
name	Boolean; if the column name exists, are its unique values printed?

Value

A list returned by mcmc_pol

crandep documentation built on Nov. 22, 2023, 1:08 a.m.