pn_posterior: Posterior of the Projected Normal distribution.

In keesmulder/circbayes: Bayesian Analysis of Circular Data

Description

Posterior of the Projected Normal distribution.

Usage

pn_posterior(th, niter = 1000, thin = 1, burnin = 0, ...)

Arguments

th	Circular observations, either numeric in radians, or circular.
niter	Number of iterations to perform MCMC for.
thin	Integer; Factor of thinning. Setting thin = 1 provides no thinning.
burnin	Integer; Number of iterations to burn.
...	Further arguments passed to bpnreg::bpnr.

Value

Object of type pn_posterior_mod.

Examples

pn_posterior(rprojnorm(30, 2, 5))

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