pn_me_reg: Bayesian inference for Hierarchical (Mixed-effects) Projected...

In keesmulder/circbayes: Bayesian Analysis of Circular Data

Description

Bayesian inference for Hierarchical (Mixed-effects) Projected Normal regression.

Usage

pn_me_reg(formula, data, niter = 1000, thin = 1, burnin = 0,
  silent = TRUE, ...)

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.
silent	Logical; whether to prevent iteration progress messages.
...	Further arguments passed to circglmbayes::circGLM.

Value

Object of type pn_me_reg_mod.

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