bdpPrint

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

bdpPrint function

<dl><dt>bdpreg</dt>
<dd>bdpreg object created with bdpreg</dd>
<dt>digits_summary</dt>
<dd>number of digits for the results</dd>
<dt>...</dt>
<dd>Arguments passed to <code>rstan::print</code></dd></dl>

Arguments

Print summary of sampled data — bdpPrint

<dl>

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


<dt>digits_summary</dt>
<dd>number of digits for the results</dd>


<dt>...</dt>
<dd>Arguments passed to <code>rstan::print</code></dd>

</dl>

bdpPrint: Print summary of sampled data

Description

Usage

Value

Arguments