bat_posterior: Posterior of the Power or Inverse Batschelet distribution.

In keesmulder/circbayes: Bayesian Analysis of Circular Data

Description

Posterior of the Power or Inverse Batschelet distribution.

Usage

bat_posterior(th, bat_type = "power", mu_logprior_fun = function(mu) 0,
  kp_logprior_fun = function(kp) 0, lam_logprior_fun = function(lam) 0,
  niter = 1000, ...)

Arguments

th	Circular observations, either numeric in radians, or circular.
bat_type	Either 'inverse' or 'power', the type of distribution to fit. The two distributions are similar, but the power Batschelet distribution is computationally much less demanding.
mu_logprior_fun	Function; A function with a single argument, which returns the log of the prior probability of μ. Defaults to a uniform prior function.
kp_logprior_fun	Function; A function with a single argument, which returns the log of the prior probability of κ. Defaults to a uniform prior function. In contrast to the other parameters, for κ the constant (uniform) prior is improper.
lam_logprior_fun	Function; A function with a single argument, which returns the log of the prior probability of λ. Defaults to a uniform prior function.
niter	Number of iterations to perform MCMC for.
...	Further arguments passed to circglmbayes::fitbatmix.

Value

Object of type bat_posterior_mod.

Examples

bat_posterior(rvm(30, 2, 5))

keesmulder/circbayes documentation built on May 30, 2019, 2:04 p.m.