traceplot.bpnr

General plot function for a <code>bpnr object</code>.

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

traceplot.bpnr function

<dl><dt>object</dt>
<dd>a <code>bpnr object</code> obtained from the function
<code>bpnr</code></dd>
<dt>parameter</dt>
<dd>one of <code>c("beta1", "beta2", "a.x", "a.c", "b.c", "SAM", "AS",
"SSDO", "circ.diff")</code> to indicate for which parameter a traceplot is
required. <code>beta1</code> and <code>beta2</code> are the linear intercepts and
coefficients of the first and second component. <code>circ.diff</code> are the
circular differences with the intercept on the outcome variable for the
different levels of categorical variables.</dd>
<dt>variable</dt>
<dd>a character string with variable name(s) to indicate for
which variable(s) a traceplot is required.</dd></dl>

Arguments

Traceplots for a Bayesian circular regression model — traceplot.bpnr

<dl>

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


<dt>parameter</dt>
<dd>one of <code>c("beta1", "beta2", "a.x", "a.c", "b.c", "SAM", "AS",
"SSDO", "circ.diff")</code> to indicate for which parameter a traceplot is
required. <code>beta1</code> and <code>beta2</code> are the linear intercepts and
coefficients of the first and second component. <code>circ.diff</code> are the
circular differences with the intercept on the outcome variable for the
different levels of categorical variables.</dd>


<dt>variable</dt>
<dd>a character string with variable name(s) to indicate for
which variable(s) a traceplot is required.</dd>

</dl>

traceplot.bpnr: Traceplots for a Bayesian circular regression model

Description

Usage

Arguments

Examples