bdpPlot

Plot Bayesian Deming regression and the confidence intervals from the full posterior distribution

Regression methods to quantify the relation
between two measurement methods are provided by this package. The
focus is on a Bayesian Deming regressions family. With a Bayesian
method the Deming regression can be run in a traditional fashion or
can be run in a robust way just decreasing the degree of freedom
d.f. of the sampling distribution. With d.f. = 1 an extremely robust
Cauchy distribution can be sampled. Moreover, models for dealing
with heteroscedastic data are also provided. For reference see
G. Pioda (2024) <https://piodag.github.io/bd1/>.

Giorgio Pioda

rstanbdp

Bayesian Deming Regression for Method Comparison

bdpPlot function

<dl><dt>bdpreg</dt>
<dd>bdpreg object created with bdpreg</dd>
<dt>ci</dt>
<dd>Probability for the HDI credibility interval. Default 0.95</dd>
<dt>...</dt>
<dd>Arguments passed to <code>plot</code> (e.g. <code>xlim</code>, <code>xlab</code>, <code>main</code>)</dd></dl>

Arguments

Plot Bayesian Deming regression and the confidence intervals from the full posterior distribution — bdpPlot

<dl>

<dt>bdpreg</dt>
<dd>bdpreg object created with bdpreg</dd>


<dt>ci</dt>
<dd>Probability for the HDI credibility interval. Default 0.95</dd>


<dt>...</dt>
<dd>Arguments passed to <code>plot</code> (e.g. <code>xlim</code>, <code>xlab</code>, <code>main</code>)</dd>

</dl>

bdpPlot: Plot Bayesian Deming regression and the confidence intervals from the full posterior distribution

Description

Usage

Value

Arguments