Bayesian Deming Regression for Method Comparison

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/>.

rstanbdp

The goal of rstanbdp is to provide Bayesian Deming regression methods

Installation

You can install the development version of rstanbdp from GitHub with:

# install.packages("devtools")
devtools::install_github("piodag/rstanbdp/tree/devel")

Alternatively the stable version is available from GitHub with:

# install.packages("devtools")
devtools::install_github("piodag/rstanbdp")