pn_reg: Bayesian inference for Projected Normal regression.

In keesmulder/circbayes: Bayesian Analysis of Circular Data

Description

Bayesian inference for Projected Normal regression.

Usage

pn_reg(formula, data, niter = 1000, thin = 1, burnin = 0, ...)

Arguments

formula	an object of class "formula" (or one that can be coerced to that class): a symbolic description of the model to be fitted.
data	A data frame or matrix containing the circular observations and predictors.
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 circglmbayes::circGLM.

Value

Object of type pn_reg_mod.

Examples

pn_reg(th ~ ., rvm_reg(20, beta = c(.5, -.2), kp = 50))

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