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rstanbdp  

Bayesian Deming Regression for Method Comparison
View on CRAN: Click here


Download and install rstanbdp package within the R console
Install from CRAN:
install.packages("rstanbdp")

Install from Github:
library("remotes")
install_github("cran/rstanbdp")

Install by package version:
library("remotes")
install_version("rstanbdp", "0.0.3")



Attach the package and use:
library("rstanbdp")
Maintained by
Giorgio Pioda
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-02-23
Latest Update: 2024-02-23
Description:
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) .
How to cite:
Giorgio Pioda (2024). rstanbdp: Bayesian Deming Regression for Method Comparison. R package version 0.0.3, https://cran.r-project.org/web/packages/rstanbdp. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.0.2 (2024-02-23 20:20)
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