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 |
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Author | Giorgio Pioda [aut, cre] (<https://orcid.org/0000-0002-8714-8678>) |
Maintainer | Giorgio Pioda <gfwp@ticino.com> |
License | GPL (>= 3) |
Version | 0.0.3 |
Package repository | View on CRAN |
Installation |
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