mcmc_pol_wrapper {crandep}

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,
  invts = 1,
  mc3_or_marg = TRUE,
  x_max = 1e+05
)

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

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)

x_max

Scalar (default 100000), positive integer limit for computing the normalising constant

Value

A list returned by mcmc_pol