rstanbdp: 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/>.

Package details

AuthorGiorgio Pioda [aut, cre] (<https://orcid.org/0000-0002-8714-8678>)
MaintainerGiorgio Pioda <gfwp@ticino.com>
LicenseGPL (>= 3)
Version0.0.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("rstanbdp")

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rstanbdp documentation built on Sept. 11, 2024, 7:41 p.m.