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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/>.

Versions across snapshots

VersionRepositoryFileSize
0.0.3 rolling linux/jammy R-4.5 rstanbdp_0.0.3.tar.gz 1.4 MiB
0.0.3 rolling linux/noble R-4.5 rstanbdp_0.0.3.tar.gz 1.5 MiB
0.0.3 rolling source/ R- rstanbdp_0.0.3.tar.gz 33.7 KiB
0.0.3 latest linux/jammy R-4.5 rstanbdp_0.0.3.tar.gz 1.4 MiB
0.0.3 latest linux/noble R-4.5 rstanbdp_0.0.3.tar.gz 1.5 MiB
0.0.3 latest source/ R- rstanbdp_0.0.3.tar.gz 33.7 KiB
0.0.3 2026-04-26 source/ R- rstanbdp_0.0.3.tar.gz 33.7 KiB
0.0.3 2026-04-23 source/ R- rstanbdp_0.0.3.tar.gz 33.7 KiB
0.0.3 2026-04-09 windows/windows R-4.5 rstanbdp_0.0.3.zip 1.5 MiB
0.0.3 2025-04-20 source/ R- rstanbdp_0.0.3.tar.gz 33.7 KiB

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Imports

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