coef_lin.bpnr

Gives the coefficients tables of the linear coefficients for a circular
regression model.

Fitting Bayesian multiple and mixed-effect regression models for
circular data based on the projected normal distribution. Both continuous
and categorical predictors can be included. Sampling from the posterior is
performed via an MCMC algorithm. Posterior descriptives of all parameters,
model fit statistics and Bayes factors for hypothesis tests for inequality
constrained hypotheses are provided. See Cremers, Mulder & Klugkist (2018)
<doi:10.1111/bmsp.12108> and Nuñez-Antonio & Guttiérez-Peña (2014)
<doi:10.1016/j.csda.2012.07.025>.

Jolien Cremers

bpnreg

Bayesian Projected Normal Regression Models for Circular Data

coef_lin.bpnr function

<dl><dt>object</dt>
<dd>a <code>bpnr object</code> obtained from the function
<code>bpnr</code>.</dd></dl>

Arguments

Obtain the linear coefficients of a Bayesian circular regression model — coef_lin.bpnr

<dl>

<dt>object</dt>
<dd>a <code>bpnr object</code> obtained from the function
<code>bpnr</code>.</dd>

</dl>

coef_lin.bpnr: Obtain the linear coefficients of a Bayesian circular regression model

Description

Usage

Value

Arguments

Examples